Zipf0 All Model Test Data Result Combined

Result

Model Summaries

Model	Better than base % of the times
LR_10[cache_size=0.001,treshold=0.3]	0
LR_10[cache_size=0.001,treshold=0.5]	0
LR_10[cache_size=0.001,treshold=0.6]	0
LR_10[cache_size=0.001,treshold=0.7]	0
LR_10[cache_size=0.001,treshold=0.8]	0
LR_10[cache_size=0.001,treshold=0.9]	0
LR_10[cache_size=All,treshold=0.3]	60
LR_10[cache_size=All,treshold=0.5]	52
LR_10[cache_size=All,treshold=0.6]	32
LR_10[cache_size=All,treshold=0.7]	32
LR_10[cache_size=All,treshold=0.8]	28
LR_10[cache_size=All,treshold=0.9]	4
LR_11[cache_size=0.001,treshold=0.3]	0
LR_11[cache_size=0.001,treshold=0.5]	0
LR_11[cache_size=0.001,treshold=0.6]	0
LR_11[cache_size=0.001,treshold=0.7]	0
LR_11[cache_size=0.001,treshold=0.8]	0
LR_11[cache_size=0.001,treshold=0.9]	0
LR_11[cache_size=All,treshold=0.3]	60
LR_11[cache_size=All,treshold=0.5]	48
LR_11[cache_size=All,treshold=0.6]	32
LR_11[cache_size=All,treshold=0.7]	36
LR_11[cache_size=All,treshold=0.8]	28
LR_11[cache_size=All,treshold=0.9]	4
LR_12[cache_size=0.001,treshold=0.3]	0
LR_12[cache_size=0.001,treshold=0.5]	0
LR_12[cache_size=0.001,treshold=0.6]	0
LR_12[cache_size=0.001,treshold=0.7]	0
LR_12[cache_size=0.001,treshold=0.8]	0
LR_12[cache_size=0.001,treshold=0.9]	0
LR_12[cache_size=All,treshold=0.3]	64
LR_12[cache_size=All,treshold=0.5]	48
LR_12[cache_size=All,treshold=0.6]	32
LR_12[cache_size=All,treshold=0.7]	36
LR_12[cache_size=All,treshold=0.8]	32
LR_12[cache_size=All,treshold=0.9]	4
LR_13[cache_size=0.001,treshold=0.3]	0
LR_13[cache_size=0.001,treshold=0.5]	0
LR_13[cache_size=0.001,treshold=0.6]	0
LR_13[cache_size=0.001,treshold=0.7]	0
LR_13[cache_size=0.001,treshold=0.8]	0
LR_13[cache_size=0.001,treshold=0.9]	0
LR_13[cache_size=All,treshold=0.3]	60
LR_13[cache_size=All,treshold=0.5]	28
LR_13[cache_size=All,treshold=0.6]	16
LR_13[cache_size=All,treshold=0.7]	0
LR_13[cache_size=All,treshold=0.8]	0
LR_13[cache_size=All,treshold=0.9]	0
LR_14[cache_size=0.001,treshold=0.3]	0
LR_14[cache_size=0.001,treshold=0.5]	0
LR_14[cache_size=0.001,treshold=0.6]	0
LR_14[cache_size=0.001,treshold=0.7]	0
LR_14[cache_size=0.001,treshold=0.8]	0
LR_14[cache_size=0.001,treshold=0.9]	0
LR_14[cache_size=All,treshold=0.3]	60
LR_14[cache_size=All,treshold=0.5]	28
LR_14[cache_size=All,treshold=0.6]	16
LR_14[cache_size=All,treshold=0.7]	0
LR_14[cache_size=All,treshold=0.8]	0
LR_14[cache_size=All,treshold=0.9]	0
LR_15[cache_size=0.001,treshold=0.3]	0
LR_15[cache_size=0.001,treshold=0.5]	0
LR_15[cache_size=0.001,treshold=0.6]	0
LR_15[cache_size=0.001,treshold=0.7]	0
LR_15[cache_size=0.001,treshold=0.8]	0
LR_15[cache_size=0.001,treshold=0.9]	0
LR_15[cache_size=All,treshold=0.3]	60
LR_15[cache_size=All,treshold=0.5]	28
LR_15[cache_size=All,treshold=0.6]	16
LR_15[cache_size=All,treshold=0.7]	0
LR_15[cache_size=All,treshold=0.8]	0
LR_15[cache_size=All,treshold=0.9]	0
LR_1[cache_size=0.001,treshold=0.5]	0
LR_1[cache_size=All,treshold=0.5]	52
LR_1_log[cache_size=0.001,treshold=0.5]	0
LR_1_log[cache_size=All,treshold=0.5]	52
LR_1_mean[cache_size=0.001,treshold=0.5]	0
LR_1_mean[cache_size=All,treshold=0.5]	24
LR_1_robust_scaler[cache_size=0.001,treshold=0.5]	0
LR_1_robust_scaler[cache_size=All,treshold=0.5]	44
LR_1_std_scaler[cache_size=0.001,treshold=0.5]	0
LR_1_std_scaler[cache_size=All,treshold=0.5]	44
LR_2[cache_size=0.001,treshold=0.5]	0
LR_2[cache_size=All,treshold=0.5]	52
LR_2_log[cache_size=0.001,treshold=0.5]	0
LR_2_log[cache_size=All,treshold=0.5]	52
LR_2_mean[cache_size=0.001,treshold=0.5]	0
LR_2_mean[cache_size=All,treshold=0.5]	32
LR_3[cache_size=0.001,treshold=0.5]	0
LR_3[cache_size=All,treshold=0.5]	52
LR_3_log[cache_size=0.001,treshold=0.5]	0
LR_3_log[cache_size=All,treshold=0.5]	52
LR_3_mean[cache_size=0.001,treshold=0.5]	0
LR_3_mean[cache_size=All,treshold=0.5]	28
LR_4[cache_size=0.001,treshold=0.5]	0
LR_4[cache_size=All,treshold=0.5]	60
LR_4_log[cache_size=0.001,treshold=0.5]	0
LR_4_log[cache_size=All,treshold=0.5]	60
LR_4_mean[cache_size=0.001,treshold=0.5]	0
LR_4_mean[cache_size=All,treshold=0.5]	56
LR_4_robust_scaler[cache_size=0.001,treshold=0.5]	0
LR_4_robust_scaler[cache_size=All,treshold=0.5]	56
LR_4_std_scaler[cache_size=0.001,treshold=0.5]	0
LR_4_std_scaler[cache_size=All,treshold=0.5]	56
LR_5[cache_size=0.001,treshold=0.5]	0
LR_5[cache_size=All,treshold=0.5]	56
LR_5_imba[cache_size=0.001,treshold=0.5]	0
LR_5_imba[cache_size=All,treshold=0.5]	60
LR_6[cache_size=0.001,treshold=0.5]	0
LR_6[cache_size=All,treshold=0.5]	56
LR_6_imba[cache_size=0.001,treshold=0.5]	0
LR_6_imba[cache_size=All,treshold=0.5]	60
LR_7[cache_size=0.001,treshold=0.3]	0
LR_7[cache_size=0.001,treshold=0.5]	0
LR_7[cache_size=0.001,treshold=0.6]	0
LR_7[cache_size=0.001,treshold=0.7]	0
LR_7[cache_size=0.001,treshold=0.8]	0
LR_7[cache_size=0.001,treshold=0.9]	0
LR_7[cache_size=All,treshold=0.3]	60
LR_7[cache_size=All,treshold=0.5]	52
LR_7[cache_size=All,treshold=0.6]	48
LR_7[cache_size=All,treshold=0.7]	36
LR_7[cache_size=All,treshold=0.8]	44
LR_7[cache_size=All,treshold=0.9]	16
LR_8[cache_size=0.001,treshold=0.3]	0
LR_8[cache_size=0.001,treshold=0.5]	0
LR_8[cache_size=0.001,treshold=0.6]	0
LR_8[cache_size=0.001,treshold=0.7]	0
LR_8[cache_size=0.001,treshold=0.8]	0
LR_8[cache_size=0.001,treshold=0.9]	0
LR_8[cache_size=All,treshold=0.3]	60
LR_8[cache_size=All,treshold=0.5]	52
LR_8[cache_size=All,treshold=0.6]	36
LR_8[cache_size=All,treshold=0.7]	36
LR_8[cache_size=All,treshold=0.8]	40
LR_8[cache_size=All,treshold=0.9]	12
LR_9[cache_size=0.001,treshold=0.3]	0
LR_9[cache_size=0.001,treshold=0.5]	0
LR_9[cache_size=0.001,treshold=0.6]	0
LR_9[cache_size=0.001,treshold=0.7]	0
LR_9[cache_size=0.001,treshold=0.8]	0
LR_9[cache_size=0.001,treshold=0.9]	0
LR_9[cache_size=All,treshold=0.3]	60
LR_9[cache_size=All,treshold=0.5]	52
LR_9[cache_size=All,treshold=0.6]	44
LR_9[cache_size=All,treshold=0.7]	36
LR_9[cache_size=All,treshold=0.8]	40
LR_9[cache_size=All,treshold=0.9]	16
LR_10[cache_size=0.01,treshold=0.3]	80
LR_10[cache_size=0.01,treshold=0.5]	80
LR_10[cache_size=0.01,treshold=0.6]	80
LR_10[cache_size=0.01,treshold=0.7]	0
LR_10[cache_size=0.01,treshold=0.8]	0
LR_10[cache_size=0.01,treshold=0.9]	0
LR_11[cache_size=0.01,treshold=0.3]	80
LR_11[cache_size=0.01,treshold=0.5]	60
LR_11[cache_size=0.01,treshold=0.6]	60
LR_11[cache_size=0.01,treshold=0.7]	40
LR_11[cache_size=0.01,treshold=0.8]	0
LR_11[cache_size=0.01,treshold=0.9]	0
LR_12[cache_size=0.01,treshold=0.3]	80
LR_12[cache_size=0.01,treshold=0.5]	60
LR_12[cache_size=0.01,treshold=0.6]	60
LR_12[cache_size=0.01,treshold=0.7]	40
LR_12[cache_size=0.01,treshold=0.8]	0
LR_12[cache_size=0.01,treshold=0.9]	0
LR_13[cache_size=0.01,treshold=0.3]	80
LR_13[cache_size=0.01,treshold=0.5]	80
LR_13[cache_size=0.01,treshold=0.6]	80
LR_13[cache_size=0.01,treshold=0.7]	0
LR_13[cache_size=0.01,treshold=0.8]	0
LR_13[cache_size=0.01,treshold=0.9]	0
LR_14[cache_size=0.01,treshold=0.3]	80
LR_14[cache_size=0.01,treshold=0.5]	60
LR_14[cache_size=0.01,treshold=0.6]	60
LR_14[cache_size=0.01,treshold=0.7]	80
LR_14[cache_size=0.01,treshold=0.8]	0
LR_14[cache_size=0.01,treshold=0.9]	0
LR_15[cache_size=0.01,treshold=0.3]	80
LR_15[cache_size=0.01,treshold=0.5]	60
LR_15[cache_size=0.01,treshold=0.6]	60
LR_15[cache_size=0.01,treshold=0.7]	80
LR_15[cache_size=0.01,treshold=0.8]	0
LR_15[cache_size=0.01,treshold=0.9]	0
LR_1[cache_size=0.01,treshold=0.5]	60
LR_1_log[cache_size=0.01,treshold=0.5]	80
LR_1_mean[cache_size=0.01,treshold=0.5]	80
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	60
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	60
LR_2[cache_size=0.01,treshold=0.5]	60
LR_2_log[cache_size=0.01,treshold=0.5]	80
LR_2_mean[cache_size=0.01,treshold=0.5]	80
LR_3[cache_size=0.01,treshold=0.5]	80
LR_3_log[cache_size=0.01,treshold=0.5]	80
LR_3_mean[cache_size=0.01,treshold=0.5]	80
LR_4[cache_size=0.01,treshold=0.5]	60
LR_4_log[cache_size=0.01,treshold=0.5]	80
LR_4_mean[cache_size=0.01,treshold=0.5]	80
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	60
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	60
LR_5[cache_size=0.01,treshold=0.5]	60
LR_5_imba[cache_size=0.01,treshold=0.5]	80
LR_6[cache_size=0.01,treshold=0.5]	80
LR_6_imba[cache_size=0.01,treshold=0.5]	80
LR_7[cache_size=0.01,treshold=0.3]	80
LR_7[cache_size=0.01,treshold=0.5]	80
LR_7[cache_size=0.01,treshold=0.6]	80
LR_7[cache_size=0.01,treshold=0.7]	0
LR_7[cache_size=0.01,treshold=0.8]	0
LR_7[cache_size=0.01,treshold=0.9]	0
LR_8[cache_size=0.01,treshold=0.3]	80
LR_8[cache_size=0.01,treshold=0.5]	80
LR_8[cache_size=0.01,treshold=0.6]	60
LR_8[cache_size=0.01,treshold=0.7]	60
LR_8[cache_size=0.01,treshold=0.8]	0
LR_8[cache_size=0.01,treshold=0.9]	0
LR_9[cache_size=0.01,treshold=0.3]	80
LR_9[cache_size=0.01,treshold=0.5]	80
LR_9[cache_size=0.01,treshold=0.6]	80
LR_9[cache_size=0.01,treshold=0.7]	60
LR_9[cache_size=0.01,treshold=0.8]	0
LR_9[cache_size=0.01,treshold=0.9]	0
LR_10[cache_size=0.1,treshold=0.3]	80
LR_10[cache_size=0.1,treshold=0.5]	60
LR_10[cache_size=0.1,treshold=0.6]	60
LR_10[cache_size=0.1,treshold=0.7]	60
LR_10[cache_size=0.1,treshold=0.8]	40
LR_10[cache_size=0.1,treshold=0.9]	20
LR_11[cache_size=0.1,treshold=0.3]	80
LR_11[cache_size=0.1,treshold=0.5]	60
LR_11[cache_size=0.1,treshold=0.6]	60
LR_11[cache_size=0.1,treshold=0.7]	60
LR_11[cache_size=0.1,treshold=0.8]	40
LR_11[cache_size=0.1,treshold=0.9]	20
LR_12[cache_size=0.1,treshold=0.3]	80
LR_12[cache_size=0.1,treshold=0.5]	60
LR_12[cache_size=0.1,treshold=0.6]	40
LR_12[cache_size=0.1,treshold=0.7]	40
LR_12[cache_size=0.1,treshold=0.8]	20
LR_12[cache_size=0.1,treshold=0.9]	20
LR_13[cache_size=0.1,treshold=0.3]	80
LR_13[cache_size=0.1,treshold=0.5]	60
LR_13[cache_size=0.1,treshold=0.6]	80
LR_13[cache_size=0.1,treshold=0.7]	40
LR_13[cache_size=0.1,treshold=0.8]	0
LR_13[cache_size=0.1,treshold=0.9]	0
LR_14[cache_size=0.1,treshold=0.3]	80
LR_14[cache_size=0.1,treshold=0.5]	60
LR_14[cache_size=0.1,treshold=0.6]	60
LR_14[cache_size=0.1,treshold=0.7]	60
LR_14[cache_size=0.1,treshold=0.8]	0
LR_14[cache_size=0.1,treshold=0.9]	0
LR_15[cache_size=0.1,treshold=0.3]	80
LR_15[cache_size=0.1,treshold=0.5]	60
LR_15[cache_size=0.1,treshold=0.6]	60
LR_15[cache_size=0.1,treshold=0.7]	60
LR_15[cache_size=0.1,treshold=0.8]	0
LR_15[cache_size=0.1,treshold=0.9]	0
LR_1[cache_size=0.1,treshold=0.5]	80
LR_1_log[cache_size=0.1,treshold=0.5]	80
LR_1_mean[cache_size=0.1,treshold=0.5]	80
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	80
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	80
LR_2[cache_size=0.1,treshold=0.5]	80
LR_2_log[cache_size=0.1,treshold=0.5]	80
LR_2_mean[cache_size=0.1,treshold=0.5]	80
LR_3[cache_size=0.1,treshold=0.5]	80
LR_3_log[cache_size=0.1,treshold=0.5]	80
LR_3_mean[cache_size=0.1,treshold=0.5]	80
LR_4[cache_size=0.1,treshold=0.5]	80
LR_4_log[cache_size=0.1,treshold=0.5]	60
LR_4_mean[cache_size=0.1,treshold=0.5]	60
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	80
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	80
LR_5[cache_size=0.1,treshold=0.5]	80
LR_5_imba[cache_size=0.1,treshold=0.5]	80
LR_6[cache_size=0.1,treshold=0.5]	80
LR_6_imba[cache_size=0.1,treshold=0.5]	80
LR_7[cache_size=0.1,treshold=0.3]	80
LR_7[cache_size=0.1,treshold=0.5]	80
LR_7[cache_size=0.1,treshold=0.6]	40
LR_7[cache_size=0.1,treshold=0.7]	60
LR_7[cache_size=0.1,treshold=0.8]	0
LR_7[cache_size=0.1,treshold=0.9]	0
LR_8[cache_size=0.1,treshold=0.3]	80
LR_8[cache_size=0.1,treshold=0.5]	80
LR_8[cache_size=0.1,treshold=0.6]	80
LR_8[cache_size=0.1,treshold=0.7]	60
LR_8[cache_size=0.1,treshold=0.8]	0
LR_8[cache_size=0.1,treshold=0.9]	0
LR_9[cache_size=0.1,treshold=0.3]	80
LR_9[cache_size=0.1,treshold=0.5]	80
LR_9[cache_size=0.1,treshold=0.6]	80
LR_9[cache_size=0.1,treshold=0.7]	40
LR_9[cache_size=0.1,treshold=0.8]	0
LR_9[cache_size=0.1,treshold=0.9]	0
LR_10[cache_size=0.2,treshold=0.3]	40
LR_10[cache_size=0.2,treshold=0.5]	60
LR_10[cache_size=0.2,treshold=0.6]	60
LR_10[cache_size=0.2,treshold=0.7]	60
LR_10[cache_size=0.2,treshold=0.8]	0
LR_10[cache_size=0.2,treshold=0.9]	0
LR_11[cache_size=0.2,treshold=0.3]	40
LR_11[cache_size=0.2,treshold=0.5]	60
LR_11[cache_size=0.2,treshold=0.6]	60
LR_11[cache_size=0.2,treshold=0.7]	60
LR_11[cache_size=0.2,treshold=0.8]	0
LR_11[cache_size=0.2,treshold=0.9]	0
LR_12[cache_size=0.2,treshold=0.3]	40
LR_12[cache_size=0.2,treshold=0.5]	60
LR_12[cache_size=0.2,treshold=0.6]	60
LR_12[cache_size=0.2,treshold=0.7]	60
LR_12[cache_size=0.2,treshold=0.8]	0
LR_12[cache_size=0.2,treshold=0.9]	0
LR_13[cache_size=0.2,treshold=0.3]	40
LR_13[cache_size=0.2,treshold=0.5]	40
LR_13[cache_size=0.2,treshold=0.6]	40
LR_13[cache_size=0.2,treshold=0.7]	60
LR_13[cache_size=0.2,treshold=0.8]	0
LR_13[cache_size=0.2,treshold=0.9]	0
LR_14[cache_size=0.2,treshold=0.3]	40
LR_14[cache_size=0.2,treshold=0.5]	40
LR_14[cache_size=0.2,treshold=0.6]	40
LR_14[cache_size=0.2,treshold=0.7]	60
LR_14[cache_size=0.2,treshold=0.8]	0
LR_14[cache_size=0.2,treshold=0.9]	0
LR_15[cache_size=0.2,treshold=0.3]	60
LR_15[cache_size=0.2,treshold=0.5]	40
LR_15[cache_size=0.2,treshold=0.6]	40
LR_15[cache_size=0.2,treshold=0.7]	40
LR_15[cache_size=0.2,treshold=0.8]	0
LR_15[cache_size=0.2,treshold=0.9]	0
LR_1[cache_size=0.2,treshold=0.5]	40
LR_1_log[cache_size=0.2,treshold=0.5]	40
LR_1_mean[cache_size=0.2,treshold=0.5]	40
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	40
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	40
LR_2[cache_size=0.2,treshold=0.5]	40
LR_2_log[cache_size=0.2,treshold=0.5]	40
LR_2_mean[cache_size=0.2,treshold=0.5]	40
LR_3[cache_size=0.2,treshold=0.5]	40
LR_3_log[cache_size=0.2,treshold=0.5]	40
LR_3_mean[cache_size=0.2,treshold=0.5]	40
LR_4[cache_size=0.2,treshold=0.5]	40
LR_4_log[cache_size=0.2,treshold=0.5]	40
LR_4_mean[cache_size=0.2,treshold=0.5]	40
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	40
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	40
LR_5[cache_size=0.2,treshold=0.5]	40
LR_5_imba[cache_size=0.2,treshold=0.5]	60
LR_6[cache_size=0.2,treshold=0.5]	40
LR_6_imba[cache_size=0.2,treshold=0.5]	60
LR_7[cache_size=0.2,treshold=0.3]	40
LR_7[cache_size=0.2,treshold=0.5]	40
LR_7[cache_size=0.2,treshold=0.6]	60
LR_7[cache_size=0.2,treshold=0.7]	60
LR_7[cache_size=0.2,treshold=0.8]	0
LR_7[cache_size=0.2,treshold=0.9]	0
LR_8[cache_size=0.2,treshold=0.3]	60
LR_8[cache_size=0.2,treshold=0.5]	40
LR_8[cache_size=0.2,treshold=0.6]	60
LR_8[cache_size=0.2,treshold=0.7]	60
LR_8[cache_size=0.2,treshold=0.8]	0
LR_8[cache_size=0.2,treshold=0.9]	0
LR_9[cache_size=0.2,treshold=0.3]	60
LR_9[cache_size=0.2,treshold=0.5]	40
LR_9[cache_size=0.2,treshold=0.6]	60
LR_9[cache_size=0.2,treshold=0.7]	60
LR_9[cache_size=0.2,treshold=0.8]	0
LR_9[cache_size=0.2,treshold=0.9]	0
LR_10[cache_size=0.4,treshold=0.3]	60
LR_10[cache_size=0.4,treshold=0.5]	80
LR_10[cache_size=0.4,treshold=0.6]	80
LR_10[cache_size=0.4,treshold=0.7]	40
LR_10[cache_size=0.4,treshold=0.8]	40
LR_10[cache_size=0.4,treshold=0.9]	20
LR_11[cache_size=0.4,treshold=0.3]	60
LR_11[cache_size=0.4,treshold=0.5]	80
LR_11[cache_size=0.4,treshold=0.6]	60
LR_11[cache_size=0.4,treshold=0.7]	40
LR_11[cache_size=0.4,treshold=0.8]	0
LR_11[cache_size=0.4,treshold=0.9]	0
LR_12[cache_size=0.4,treshold=0.3]	80
LR_12[cache_size=0.4,treshold=0.5]	80
LR_12[cache_size=0.4,treshold=0.6]	80
LR_12[cache_size=0.4,treshold=0.7]	40
LR_12[cache_size=0.4,treshold=0.8]	0
LR_12[cache_size=0.4,treshold=0.9]	0
LR_13[cache_size=0.4,treshold=0.3]	60
LR_13[cache_size=0.4,treshold=0.5]	80
LR_13[cache_size=0.4,treshold=0.6]	80
LR_13[cache_size=0.4,treshold=0.7]	40
LR_13[cache_size=0.4,treshold=0.8]	20
LR_13[cache_size=0.4,treshold=0.9]	20
LR_14[cache_size=0.4,treshold=0.3]	60
LR_14[cache_size=0.4,treshold=0.5]	80
LR_14[cache_size=0.4,treshold=0.6]	80
LR_14[cache_size=0.4,treshold=0.7]	40
LR_14[cache_size=0.4,treshold=0.8]	20
LR_14[cache_size=0.4,treshold=0.9]	20
LR_15[cache_size=0.4,treshold=0.3]	80
LR_15[cache_size=0.4,treshold=0.5]	80
LR_15[cache_size=0.4,treshold=0.6]	80
LR_15[cache_size=0.4,treshold=0.7]	40
LR_15[cache_size=0.4,treshold=0.8]	20
LR_15[cache_size=0.4,treshold=0.9]	20
LR_1[cache_size=0.4,treshold=0.5]	60
LR_1_log[cache_size=0.4,treshold=0.5]	80
LR_1_mean[cache_size=0.4,treshold=0.5]	80
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	60
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	60
LR_2[cache_size=0.4,treshold=0.5]	60
LR_2_log[cache_size=0.4,treshold=0.5]	80
LR_2_mean[cache_size=0.4,treshold=0.5]	80
LR_3[cache_size=0.4,treshold=0.5]	60
LR_3_log[cache_size=0.4,treshold=0.5]	80
LR_3_mean[cache_size=0.4,treshold=0.5]	80
LR_4[cache_size=0.4,treshold=0.5]	80
LR_4_log[cache_size=0.4,treshold=0.5]	60
LR_4_mean[cache_size=0.4,treshold=0.5]	80
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	80
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	80
LR_5[cache_size=0.4,treshold=0.5]	80
LR_5_imba[cache_size=0.4,treshold=0.5]	80
LR_6[cache_size=0.4,treshold=0.5]	80
LR_6_imba[cache_size=0.4,treshold=0.5]	80
LR_7[cache_size=0.4,treshold=0.3]	80
LR_7[cache_size=0.4,treshold=0.5]	80
LR_7[cache_size=0.4,treshold=0.6]	80
LR_7[cache_size=0.4,treshold=0.7]	40
LR_7[cache_size=0.4,treshold=0.8]	20
LR_7[cache_size=0.4,treshold=0.9]	40
LR_8[cache_size=0.4,treshold=0.3]	80
LR_8[cache_size=0.4,treshold=0.5]	80
LR_8[cache_size=0.4,treshold=0.6]	80
LR_8[cache_size=0.4,treshold=0.7]	20
LR_8[cache_size=0.4,treshold=0.8]	0
LR_8[cache_size=0.4,treshold=0.9]	0
LR_9[cache_size=0.4,treshold=0.3]	80
LR_9[cache_size=0.4,treshold=0.5]	80
LR_9[cache_size=0.4,treshold=0.6]	80
LR_9[cache_size=0.4,treshold=0.7]	20
LR_9[cache_size=0.4,treshold=0.8]	0
LR_9[cache_size=0.4,treshold=0.9]	0
Offline Clock 1st iteration	0
Offline Clock 2nd iteration	100
Zipf Optimal Distribution	56

Promotion Reduced (%)

Model	Max	Min	Avg	Mdn
LR_10[cache_size=0.001,treshold=0.3]	97.5251	97.4386	97.476	97.4733
LR_10[cache_size=0.001,treshold=0.5]	93.7553	93.6115	93.6695	93.6449
LR_10[cache_size=0.001,treshold=0.6]	87.3734	87.1943	87.2682	87.2438
LR_10[cache_size=0.001,treshold=0.7]	26.0166	25.6524	25.8338	25.8229
LR_10[cache_size=0.001,treshold=0.8]	1.66789	1.61523	1.6328	1.62872
LR_10[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_10[cache_size=All,treshold=0.3]	98.0623	90.7947	95.1189	95.4773
LR_10[cache_size=All,treshold=0.5]	86.4887	13.4401	46.6968	52.599
LR_10[cache_size=All,treshold=0.6]	76.5894	0.700736	28.9161	16.4192
LR_10[cache_size=All,treshold=0.7]	58.9215	0.223497	15.3703	6.63903
LR_10[cache_size=All,treshold=0.8]	18.1337	0.0247083	5.37182	4.12296
LR_10[cache_size=All,treshold=0.9]	3.45624	0.00273211	1.52489	1.60022
LR_11[cache_size=0.001,treshold=0.3]	91.9068	91.6789	91.737	91.6959
LR_11[cache_size=0.001,treshold=0.5]	75.224	75.0761	75.1469	75.1551
LR_11[cache_size=0.001,treshold=0.6]	58.7067	58.5526	58.6333	58.6431
LR_11[cache_size=0.001,treshold=0.7]	26.8304	26.4186	26.6328	26.6834
LR_11[cache_size=0.001,treshold=0.8]	0.0351018	0.0159226	0.0242171	0.0229968
LR_11[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_11[cache_size=All,treshold=0.3]	98.119	70.9173	90.6142	94.2833
LR_11[cache_size=All,treshold=0.5]	85.2065	14.0347	41.6486	28.5799
LR_11[cache_size=All,treshold=0.6]	76.3445	0.726802	26.714	9.63783
LR_11[cache_size=All,treshold=0.7]	59.9017	0.241822	14.6793	3.7238
LR_11[cache_size=All,treshold=0.8]	23.2517	0.0280467	5.98543	2.12261
LR_11[cache_size=All,treshold=0.9]	3.5706	0.00303224	1.38632	0.809615
LR_12[cache_size=0.001,treshold=0.3]	96.3863	96.2251	96.285	96.2771
LR_12[cache_size=0.001,treshold=0.5]	85.2348	85.0491	85.1357	85.1452
LR_12[cache_size=0.001,treshold=0.6]	71.7157	71.628	71.6869	71.6919
LR_12[cache_size=0.001,treshold=0.7]	43.0577	42.8483	42.9785	42.9977
LR_12[cache_size=0.001,treshold=0.8]	0	0	0	0
LR_12[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_12[cache_size=All,treshold=0.3]	98.1894	58.5912	87.9937	93.9287
LR_12[cache_size=All,treshold=0.5]	84.2409	14.4434	39.4358	18.1608
LR_12[cache_size=All,treshold=0.6]	75.5171	0.732406	26.1776	9.67854
LR_12[cache_size=All,treshold=0.7]	59.6489	0.244398	14.1821	2.88019
LR_12[cache_size=All,treshold=0.8]	22.6008	0.0280312	5.76445	1.64825
LR_12[cache_size=All,treshold=0.9]	3.53358	0.00298583	1.32528	0.557424
LR_13[cache_size=0.001,treshold=0.3]	97.5371	97.4516	97.4848	97.4754
LR_13[cache_size=0.001,treshold=0.5]	93.7102	93.5653	93.6261	93.6148
LR_13[cache_size=0.001,treshold=0.6]	87.3296	87.1502	87.2206	87.1728
LR_13[cache_size=0.001,treshold=0.7]	26.0862	25.7144	25.8855	25.879
LR_13[cache_size=0.001,treshold=0.8]	1.646	1.56919	1.60719	1.60666
LR_13[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_13[cache_size=All,treshold=0.3]	98.4936	81.7862	90.8247	92.2814
LR_13[cache_size=All,treshold=0.5]	76.5658	0.0120017	25.3015	4.51844
LR_13[cache_size=All,treshold=0.6]	42.0709	0.00108558	8.72344	0.470934
LR_13[cache_size=All,treshold=0.7]	1.00954	-5.53978e-06	0.221484	2.10371e-05
LR_13[cache_size=All,treshold=0.8]	0.995569	0	0.216238	0
LR_13[cache_size=All,treshold=0.9]	0.986525	0	0.214378	0
LR_14[cache_size=0.001,treshold=0.3]	91.9068	91.6789	91.737	91.6959
LR_14[cache_size=0.001,treshold=0.5]	75.224	75.0761	75.1469	75.1551
LR_14[cache_size=0.001,treshold=0.6]	58.7067	58.5526	58.6331	58.6431
LR_14[cache_size=0.001,treshold=0.7]	27.3288	26.9986	27.1804	27.238
LR_14[cache_size=0.001,treshold=0.8]	0.0280814	0.011942	0.0174121	0.0159978
LR_14[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_14[cache_size=All,treshold=0.3]	98.5848	67.9597	87.5698	92.7413
LR_14[cache_size=All,treshold=0.5]	76.5447	0.014624	25.5286	6.62513
LR_14[cache_size=All,treshold=0.6]	41.8591	0.0015179	8.65122	0.28922
LR_14[cache_size=All,treshold=0.7]	1.01971	0	0.221567	3.15585e-05
LR_14[cache_size=All,treshold=0.8]	0.996072	0	0.21626	0
LR_14[cache_size=All,treshold=0.9]	0.98964	0	0.214784	0
LR_15[cache_size=0.001,treshold=0.3]	96.3873	96.2321	96.2876	96.2781
LR_15[cache_size=0.001,treshold=0.5]	85.2248	85.0531	85.1286	85.1284
LR_15[cache_size=0.001,treshold=0.6]	71.6985	71.619	71.6749	71.6917
LR_15[cache_size=0.001,treshold=0.7]	43.0687	42.8563	43.0001	43.0077
LR_15[cache_size=0.001,treshold=0.8]	0	0	0	0
LR_15[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_15[cache_size=All,treshold=0.3]	98.6291	62.5759	86.6398	92.97
LR_15[cache_size=All,treshold=0.5]	76.5466	0.0168294	25.826	8.15949
LR_15[cache_size=All,treshold=0.6]	41.494	0.00192784	8.57445	0.267203
LR_15[cache_size=All,treshold=0.7]	1.02866	0	0.2232	5.25918e-05
LR_15[cache_size=All,treshold=0.8]	0.995167	0	0.215979	1.05184e-05
LR_15[cache_size=All,treshold=0.9]	0.984917	0	0.213844	0
LR_1[cache_size=0.001,treshold=0.5]	62.5772	62.4366	62.5263	62.548
LR_1[cache_size=All,treshold=0.5]	88.1376	24.3378	56.6328	57.3216
LR_1_log[cache_size=0.001,treshold=0.5]	93.7563	93.6125	93.6617	93.6419
LR_1_log[cache_size=All,treshold=0.5]	74.0881	1.75775	39.7855	43.6229
LR_1_mean[cache_size=0.001,treshold=0.5]	93.7312	93.6095	93.6675	93.6558
LR_1_mean[cache_size=All,treshold=0.5]	79.3058	0.00599916	26.8244	4.33355
LR_1_robust_scaler[cache_size=0.001,treshold=0.5]	62.5742	62.4346	62.5247	62.554
LR_1_robust_scaler[cache_size=All,treshold=0.5]	88.1376	24.3408	56.6349	57.3157
LR_1_std_scaler[cache_size=0.001,treshold=0.5]	62.5812	62.4436	62.5329	62.559
LR_1_std_scaler[cache_size=All,treshold=0.5]	88.1376	24.3374	56.6312	57.3216
LR_2[cache_size=0.001,treshold=0.5]	62.6652	62.5088	62.6214	62.6485
LR_2[cache_size=All,treshold=0.5]	88.1786	24.1566	56.5746	57.3379
LR_2_log[cache_size=0.001,treshold=0.5]	85.1767	85.0075	85.0798	85.0755
LR_2_log[cache_size=All,treshold=0.5]	74.2304	0	39.853	44.4229
LR_2_mean[cache_size=0.001,treshold=0.5]	85.1947	85.0301	85.0848	85.0805
LR_2_mean[cache_size=All,treshold=0.5]	79.8171	0	26.303	0.228452
LR_3[cache_size=0.001,treshold=0.5]	58.7067	58.5526	58.6331	58.6431
LR_3[cache_size=All,treshold=0.5]	88.1786	24.1497	56.5727	57.3377
LR_3_log[cache_size=0.001,treshold=0.5]	75.224	75.0761	75.1469	75.1551
LR_3_log[cache_size=All,treshold=0.5]	74.2133	0	39.7005	44.0943
LR_3_mean[cache_size=0.001,treshold=0.5]	75.2169	75.0741	75.1443	75.1541
LR_3_mean[cache_size=All,treshold=0.5]	79.7302	0	26.2389	0.209001
LR_4[cache_size=0.001,treshold=0.5]	62.5632	62.4336	62.5149	62.5361
LR_4[cache_size=All,treshold=0.5]	100	52.3813	79.8406	84.6044
LR_4_log[cache_size=0.001,treshold=0.5]	93.7563	93.6024	93.6605	93.6379
LR_4_log[cache_size=All,treshold=0.5]	96.2842	52.1274	72.1733	67.123
LR_4_mean[cache_size=0.001,treshold=0.5]	93.7342	93.6055	93.6677	93.6579
LR_4_mean[cache_size=All,treshold=0.5]	95.2114	51.1783	71.2989	66.6581
LR_4_robust_scaler[cache_size=0.001,treshold=0.5]	62.5686	62.4256	62.5193	62.543
LR_4_robust_scaler[cache_size=All,treshold=0.5]	100	53.0489	82.7424	93.7235
LR_4_std_scaler[cache_size=0.001,treshold=0.5]	62.5712	62.4316	62.5207	62.545
LR_4_std_scaler[cache_size=All,treshold=0.5]	100	53.0511	82.7339	93.6992
LR_5[cache_size=0.001,treshold=0.5]	58.7166	58.5666	58.6464	58.6561
LR_5[cache_size=All,treshold=0.5]	100	53.058	82.7467	93.7299
LR_5_imba[cache_size=0.001,treshold=0.5]	100	100	100	100
LR_5_imba[cache_size=All,treshold=0.5]	100	74.8512	94.9643	100
LR_6[cache_size=0.001,treshold=0.5]	58.7166	58.5666	58.6466	58.6571
LR_6[cache_size=All,treshold=0.5]	100	53.0567	82.7448	93.7252
LR_6_imba[cache_size=0.001,treshold=0.5]	100	100	100	100
LR_6_imba[cache_size=All,treshold=0.5]	100	74.8538	94.9643	100
LR_7[cache_size=0.001,treshold=0.3]	97.5571	97.4626	97.4992	97.4882
LR_7[cache_size=0.001,treshold=0.5]	93.7503	93.623	93.6585	93.6339
LR_7[cache_size=0.001,treshold=0.6]	87.1094	86.9658	87.0477	87.0595
LR_7[cache_size=0.001,treshold=0.7]	26.3669	25.9094	26.148	26.1589
LR_7[cache_size=0.001,treshold=0.8]	1.64238	1.59578	1.61903	1.6217
LR_7[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_7[cache_size=All,treshold=0.3]	95.1715	72.7889	84.2368	85.8594
LR_7[cache_size=All,treshold=0.5]	73.1029	38.4053	56.871	61.8199
LR_7[cache_size=All,treshold=0.6]	58.3081	16.0942	36.825	31.9636
LR_7[cache_size=All,treshold=0.7]	53.2996	2.63038	24.5411	12.5872
LR_7[cache_size=All,treshold=0.8]	47.1457	0.168942	19.3419	6.2512
LR_7[cache_size=All,treshold=0.9]	37.938	0.00257741	14.5401	2.15885
LR_8[cache_size=0.001,treshold=0.3]	91.9068	91.6789	91.737	91.6959
LR_8[cache_size=0.001,treshold=0.5]	75.224	75.0761	75.1469	75.1551
LR_8[cache_size=0.001,treshold=0.6]	58.7067	58.5526	58.6331	58.6431
LR_8[cache_size=0.001,treshold=0.7]	33.7246	33.2856	33.5811	33.7083
LR_8[cache_size=0.001,treshold=0.8]	0.0280814	0.011942	0.0174121	0.0159978
LR_8[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_8[cache_size=All,treshold=0.3]	95.1364	73.8602	84.4348	85.7619
LR_8[cache_size=All,treshold=0.5]	73.0882	38.2458	57.0313	61.8875
LR_8[cache_size=All,treshold=0.6]	59.4685	16.0466	37.0996	32.2961
LR_8[cache_size=All,treshold=0.7]	54.3847	2.6458	24.7665	12.5139
LR_8[cache_size=All,treshold=0.8]	48.4204	0.169078	19.594	6.2073
LR_8[cache_size=All,treshold=0.9]	38.7875	0.00256503	14.7166	2.13942
LR_9[cache_size=0.001,treshold=0.3]	96.3752	96.195	96.2502	96.2215
LR_9[cache_size=0.001,treshold=0.5]	85.1687	85.0145	85.0789	85.0477
LR_9[cache_size=0.001,treshold=0.6]	71.7115	71.6316	71.6629	71.6567
LR_9[cache_size=0.001,treshold=0.7]	43.1015	42.8623	43.0062	43.0327
LR_9[cache_size=0.001,treshold=0.8]	0	0	0	0
LR_9[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_9[cache_size=All,treshold=0.3]	95.1994	71.6255	84.0063	85.9408
LR_9[cache_size=All,treshold=0.5]	73.0953	38.5439	56.6746	61.7484
LR_9[cache_size=All,treshold=0.6]	57.255	16.1337	36.5584	31.5905
LR_9[cache_size=All,treshold=0.7]	52.2616	2.61461	24.3469	12.6649
LR_9[cache_size=All,treshold=0.8]	46.1398	0.169103	19.1538	6.30023
LR_9[cache_size=All,treshold=0.9]	37.0043	0.00262691	14.3603	2.18227
LR_10[cache_size=0.01,treshold=0.3]	97.375	97.3163	97.3478	97.3536
LR_10[cache_size=0.01,treshold=0.5]	94.6888	94.6161	94.656	94.6633
LR_10[cache_size=0.01,treshold=0.6]	90.3682	90.2595	90.3135	90.3117
LR_10[cache_size=0.01,treshold=0.7]	6.03174	5.94003	6.00207	6.01526
LR_10[cache_size=0.01,treshold=0.8]	0.00050356	0	0.000241275	0.000200983
LR_10[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_11[cache_size=0.01,treshold=0.3]	94.3315	94.2582	94.287	94.2818
LR_11[cache_size=0.01,treshold=0.5]	80.6643	80.5771	80.6194	80.6123
LR_11[cache_size=0.01,treshold=0.6]	66.8483	66.7207	66.7776	66.7719
LR_11[cache_size=0.01,treshold=0.7]	40.5801	40.509	40.5422	40.5384
LR_11[cache_size=0.01,treshold=0.8]	1.44608	1.41296	1.43248	1.43323
LR_11[cache_size=0.01,treshold=0.9]	0.00421799	0.0023063	0.00359838	0.00382705
LR_12[cache_size=0.01,treshold=0.3]	95.5653	95.4966	95.5278	95.521
LR_12[cache_size=0.01,treshold=0.5]	84.6144	84.5207	84.5513	84.5412
LR_12[cache_size=0.01,treshold=0.6]	71.4212	71.3477	71.3724	71.3584
LR_12[cache_size=0.01,treshold=0.7]	42.1164	42.0782	42.0978	42.1007
LR_12[cache_size=0.01,treshold=0.8]	1.42588	1.39571	1.41357	1.41188
LR_12[cache_size=0.01,treshold=0.9]	0.00713041	0.00401096	0.00576894	0.00613557
LR_13[cache_size=0.01,treshold=0.3]	97.3731	97.3151	97.3462	97.3519
LR_13[cache_size=0.01,treshold=0.5]	94.6805	94.6052	94.6481	94.657
LR_13[cache_size=0.01,treshold=0.6]	90.3742	90.2749	90.324	90.3247
LR_13[cache_size=0.01,treshold=0.7]	8.03698	8.00667	8.02649	8.03409
LR_13[cache_size=0.01,treshold=0.8]	0.000100712	0	2.01424e-05	0
LR_13[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_14[cache_size=0.01,treshold=0.3]	93.9165	93.8404	93.8637	93.851
LR_14[cache_size=0.01,treshold=0.5]	81.5645	81.4569	81.4959	81.4904
LR_14[cache_size=0.01,treshold=0.6]	68.2926	68.2366	68.2604	68.249
LR_14[cache_size=0.01,treshold=0.7]	41.2829	41.1636	41.1976	41.1719
LR_14[cache_size=0.01,treshold=0.8]	2.83379	2.79279	2.80859	2.80884
LR_14[cache_size=0.01,treshold=0.9]	0.00210899	0.000802192	0.00156809	0.00161139
LR_15[cache_size=0.01,treshold=0.3]	95.6961	95.6312	95.6606	95.655
LR_15[cache_size=0.01,treshold=0.5]	85.2907	85.2006	85.2238	85.2046
LR_15[cache_size=0.01,treshold=0.6]	72.1813	72.103	72.1346	72.1318
LR_15[cache_size=0.01,treshold=0.7]	41.1227	41.0181	41.0454	41.0263
LR_15[cache_size=0.01,treshold=0.8]	2.16584	2.13363	2.14395	2.14157
LR_15[cache_size=0.01,treshold=0.9]	0.00200857	0.000701918	0.00146762	0.00160933
LR_1[cache_size=0.01,treshold=0.5]	62.2952	62.1761	62.2345	62.2333
LR_1_log[cache_size=0.01,treshold=0.5]	94.6923	94.6112	94.655	94.6594
LR_1_mean[cache_size=0.01,treshold=0.5]	94.6919	94.6182	94.6592	94.6623
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	62.3087	62.1962	62.2506	62.2502
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	62.3194	62.2084	62.2611	62.2611
LR_2[cache_size=0.01,treshold=0.5]	62.2958	62.1758	62.233	62.2276
LR_2_log[cache_size=0.01,treshold=0.5]	83.9115	83.8116	83.8511	83.8435
LR_2_mean[cache_size=0.01,treshold=0.5]	83.9008	83.8098	83.8459	83.841
LR_3[cache_size=0.01,treshold=0.5]	62.4219	62.3151	62.3656	62.3627
LR_3_log[cache_size=0.01,treshold=0.5]	79.617	79.5181	79.5735	79.5634
LR_3_mean[cache_size=0.01,treshold=0.5]	79.4844	79.3878	79.4419	79.4328
LR_4[cache_size=0.01,treshold=0.5]	62.2967	62.1778	62.2363	62.2343
LR_4_log[cache_size=0.01,treshold=0.5]	94.594	94.5106	94.5576	94.5648
LR_4_mean[cache_size=0.01,treshold=0.5]	94.5933	94.5108	94.557	94.5593
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	62.3154	62.203	62.2561	62.2557
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	62.3149	62.2018	62.2562	62.2559
LR_5[cache_size=0.01,treshold=0.5]	62.3446	62.2334	62.2883	62.2846
LR_5_imba[cache_size=0.01,treshold=0.5]	100	100	100	100
LR_6[cache_size=0.01,treshold=0.5]	62.3734	62.2637	62.3196	62.3173
LR_6_imba[cache_size=0.01,treshold=0.5]	100	100	100	100
LR_7[cache_size=0.01,treshold=0.3]	97.3686	97.3096	97.3425	97.3482
LR_7[cache_size=0.01,treshold=0.5]	94.6936	94.6141	94.6562	94.6603
LR_7[cache_size=0.01,treshold=0.6]	90.3488	90.2492	90.2962	90.2923
LR_7[cache_size=0.01,treshold=0.7]	4.58652	4.53429	4.55233	4.54331
LR_7[cache_size=0.01,treshold=0.8]	0.000301475	0.000200548	0.000221094	0.000201166
LR_7[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_8[cache_size=0.01,treshold=0.3]	94.2905	94.2105	94.2408	94.2346
LR_8[cache_size=0.01,treshold=0.5]	79.8408	79.7648	79.8063	79.7978
LR_8[cache_size=0.01,treshold=0.6]	66.1403	66.0341	66.092	66.086
LR_8[cache_size=0.01,treshold=0.7]	41.2065	41.1067	41.1406	41.1234
LR_8[cache_size=0.01,treshold=0.8]	0	0	0	0
LR_8[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_9[cache_size=0.01,treshold=0.3]	95.4735	95.3989	95.4305	95.421
LR_9[cache_size=0.01,treshold=0.5]	83.9046	83.8062	83.8462	83.8416
LR_9[cache_size=0.01,treshold=0.6]	70.4536	70.3886	70.4178	70.413
LR_9[cache_size=0.01,treshold=0.7]	42.8521	42.7654	42.7949	42.774
LR_9[cache_size=0.01,treshold=0.8]	0	0	0	0
LR_9[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_10[cache_size=0.1,treshold=0.3]	89.2643	89.2542	89.2601	89.263
LR_10[cache_size=0.1,treshold=0.5]	77.2598	77.2401	77.2519	77.2581
LR_10[cache_size=0.1,treshold=0.6]	62.1711	62.1222	62.1451	62.1468
LR_10[cache_size=0.1,treshold=0.7]	31.5959	31.5519	31.5796	31.5829
LR_10[cache_size=0.1,treshold=0.8]	2.13467	2.12937	2.13197	2.1317
LR_10[cache_size=0.1,treshold=0.9]	0.257826	0.253058	0.256527	0.257168
LR_11[cache_size=0.1,treshold=0.3]	89.1798	89.1671	89.1748	89.1782
LR_11[cache_size=0.1,treshold=0.5]	77.0769	77.0543	77.0672	77.0728
LR_11[cache_size=0.1,treshold=0.6]	62.1013	62.0506	62.0742	62.076
LR_11[cache_size=0.1,treshold=0.7]	31.6941	31.6538	31.6784	31.6804
LR_11[cache_size=0.1,treshold=0.8]	2.13293	2.12782	2.13011	2.12939
LR_11[cache_size=0.1,treshold=0.9]	0.262286	0.257266	0.260655	0.261218
LR_12[cache_size=0.1,treshold=0.3]	89.2823	89.2716	89.2776	89.2798
LR_12[cache_size=0.1,treshold=0.5]	77.3199	77.3019	77.3129	77.3191
LR_12[cache_size=0.1,treshold=0.6]	62.2521	62.2042	62.2253	62.2258
LR_12[cache_size=0.1,treshold=0.7]	31.5346	31.4921	31.519	31.5228
LR_12[cache_size=0.1,treshold=0.8]	2.09835	2.09459	2.09604	2.0948
LR_12[cache_size=0.1,treshold=0.9]	0.252683	0.24846	0.251711	0.252414
LR_13[cache_size=0.1,treshold=0.3]	85.7624	85.7447	85.7521	85.7507
LR_13[cache_size=0.1,treshold=0.5]	77.6022	77.5651	77.5868	77.5921
LR_13[cache_size=0.1,treshold=0.6]	68.6033	68.5457	68.5775	68.5855
LR_13[cache_size=0.1,treshold=0.7]	15.2344	15.1752	15.2046	15.2071
LR_13[cache_size=0.1,treshold=0.8]	0	0	0	0
LR_13[cache_size=0.1,treshold=0.9]	0	0	0	0
LR_14[cache_size=0.1,treshold=0.3]	85.7079	85.6903	85.698	85.6963
LR_14[cache_size=0.1,treshold=0.5]	76.0659	76.0278	76.0474	76.0461
LR_14[cache_size=0.1,treshold=0.6]	66.5266	66.4793	66.499	66.4994
LR_14[cache_size=0.1,treshold=0.7]	23.3943	23.3549	23.3742	23.371
LR_14[cache_size=0.1,treshold=0.8]	0	0	0	0
LR_14[cache_size=0.1,treshold=0.9]	0	0	0	0
LR_15[cache_size=0.1,treshold=0.3]	85.7083	85.6905	85.6983	85.6966
LR_15[cache_size=0.1,treshold=0.5]	76.0658	76.0278	76.0474	76.0461
LR_15[cache_size=0.1,treshold=0.6]	66.5255	66.4775	66.4974	66.4975
LR_15[cache_size=0.1,treshold=0.7]	23.5234	23.4831	23.5022	23.4977
LR_15[cache_size=0.1,treshold=0.8]	0	0	0	0
LR_15[cache_size=0.1,treshold=0.9]	0	0	0	0
LR_1[cache_size=0.1,treshold=0.5]	56.2671	56.2104	56.2381	56.2437
LR_1_log[cache_size=0.1,treshold=0.5]	74.5923	74.557	74.5742	74.5806
LR_1_mean[cache_size=0.1,treshold=0.5]	74.6141	74.5823	74.6006	74.6057
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	56.2653	56.2094	56.2363	56.2418
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	56.2574	56.2013	56.2282	56.2341
LR_2[cache_size=0.1,treshold=0.5]	56.2667	56.2089	56.2362	56.2418
LR_2_log[cache_size=0.1,treshold=0.5]	71.4284	71.3881	71.4127	71.4194
LR_2_mean[cache_size=0.1,treshold=0.5]	71.4642	71.4261	71.4507	71.4586
LR_3[cache_size=0.1,treshold=0.5]	56.2694	56.2124	56.2398	56.2461
LR_3_log[cache_size=0.1,treshold=0.5]	71.2801	71.2414	71.2668	71.2756
LR_3_mean[cache_size=0.1,treshold=0.5]	71.302	71.2627	71.2874	71.2962
LR_4[cache_size=0.1,treshold=0.5]	56.698	56.6401	56.6708	56.6792
LR_4_log[cache_size=0.1,treshold=0.5]	75.412	75.3854	75.4	75.4046
LR_4_mean[cache_size=0.1,treshold=0.5]	75.3846	75.3563	75.3728	75.3771
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	56.7	56.6414	56.6718	56.677
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	56.6974	56.639	56.6696	56.6757
LR_5[cache_size=0.1,treshold=0.5]	56.6922	56.6342	56.6641	56.6704
LR_5_imba[cache_size=0.1,treshold=0.5]	100	99.9999	100	100
LR_6[cache_size=0.1,treshold=0.5]	56.6997	56.6416	56.6716	56.6772
LR_6_imba[cache_size=0.1,treshold=0.5]	100	99.9999	100	100
LR_7[cache_size=0.1,treshold=0.3]	89.4207	89.4013	89.4085	89.404
LR_7[cache_size=0.1,treshold=0.5]	74.6101	74.5765	74.5935	74.5995
LR_7[cache_size=0.1,treshold=0.6]	59.0326	58.9805	59.0047	59.0117
LR_7[cache_size=0.1,treshold=0.7]	28.4263	28.3778	28.4064	28.4082
LR_7[cache_size=0.1,treshold=0.8]	0	0	0	0
LR_7[cache_size=0.1,treshold=0.9]	0	0	0	0
LR_8[cache_size=0.1,treshold=0.3]	87.8624	87.8457	87.8534	87.8523
LR_8[cache_size=0.1,treshold=0.5]	71.306	71.2659	71.2896	71.2975
LR_8[cache_size=0.1,treshold=0.6]	56.6264	56.5704	56.5977	56.6045
LR_8[cache_size=0.1,treshold=0.7]	31.677	31.6262	31.6543	31.6554
LR_8[cache_size=0.1,treshold=0.8]	0	0	0	0
LR_8[cache_size=0.1,treshold=0.9]	0	0	0	0
LR_9[cache_size=0.1,treshold=0.3]	87.9638	87.9473	87.9551	87.9535
LR_9[cache_size=0.1,treshold=0.5]	71.4639	71.4227	71.4479	71.4568
LR_9[cache_size=0.1,treshold=0.6]	56.7316	56.6757	56.7036	56.7094
LR_9[cache_size=0.1,treshold=0.7]	31.5653	31.513	31.5425	31.5428
LR_9[cache_size=0.1,treshold=0.8]	0	0	0	0
LR_9[cache_size=0.1,treshold=0.9]	0	0	0	0
LR_10[cache_size=0.2,treshold=0.3]	83.5961	83.5694	83.5792	83.5753
LR_10[cache_size=0.2,treshold=0.5]	68.5525	68.5371	68.545	68.5465
LR_10[cache_size=0.2,treshold=0.6]	55.0807	55.0695	55.073	55.0709
LR_10[cache_size=0.2,treshold=0.7]	20.0306	20.0094	20.0186	20.0145
LR_10[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_10[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_11[cache_size=0.2,treshold=0.3]	83.6025	83.5758	83.5855	83.5816
LR_11[cache_size=0.2,treshold=0.5]	68.9088	68.8911	68.8993	68.901
LR_11[cache_size=0.2,treshold=0.6]	55.2445	55.2327	55.2358	55.2336
LR_11[cache_size=0.2,treshold=0.7]	19.5682	19.5445	19.5556	19.5541
LR_11[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_11[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_12[cache_size=0.2,treshold=0.3]	83.5937	83.5671	83.5768	83.5727
LR_12[cache_size=0.2,treshold=0.5]	69.2713	69.2555	69.2636	69.2649
LR_12[cache_size=0.2,treshold=0.6]	55.3333	55.3201	55.3243	55.3227
LR_12[cache_size=0.2,treshold=0.7]	19.1504	19.1237	19.1382	19.1369
LR_12[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_12[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_13[cache_size=0.2,treshold=0.3]	85.1814	85.1577	85.167	85.1645
LR_13[cache_size=0.2,treshold=0.5]	67.1231	67.1173	67.1204	67.1213
LR_13[cache_size=0.2,treshold=0.6]	49.1877	49.1653	49.1735	49.1699
LR_13[cache_size=0.2,treshold=0.7]	17.1856	17.1694	17.1774	17.1748
LR_13[cache_size=0.2,treshold=0.8]	0.00191122	0.00171103	0.00182223	0.00184962
LR_13[cache_size=0.2,treshold=0.9]	0.000725711	0.000609103	0.000666862	0.000670311
LR_14[cache_size=0.2,treshold=0.3]	85.1966	85.174	85.1825	85.1797
LR_14[cache_size=0.2,treshold=0.5]	67.0779	67.0718	67.0754	67.0765
LR_14[cache_size=0.2,treshold=0.6]	49.0908	49.0709	49.0774	49.073
LR_14[cache_size=0.2,treshold=0.7]	17.0192	17.0031	17.0112	17.0085
LR_14[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_14[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_15[cache_size=0.2,treshold=0.3]	85.2582	85.2335	85.2436	85.2404
LR_15[cache_size=0.2,treshold=0.5]	67.1184	67.1115	67.1154	67.1163
LR_15[cache_size=0.2,treshold=0.6]	49.114	49.0932	49.1003	49.0966
LR_15[cache_size=0.2,treshold=0.7]	16.8604	16.847	16.8534	16.8522
LR_15[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_15[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_1[cache_size=0.2,treshold=0.5]	50.8807	50.852	50.8624	50.8601
LR_1_log[cache_size=0.2,treshold=0.5]	64.4573	64.4455	64.451	64.4512
LR_1_mean[cache_size=0.2,treshold=0.5]	64.5222	64.5142	64.5182	64.5174
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	50.8836	50.8524	50.8645	50.8624
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	50.8785	50.8483	50.8599	50.8581
LR_2[cache_size=0.2,treshold=0.5]	50.8793	50.8507	50.8605	50.8573
LR_2_log[cache_size=0.2,treshold=0.5]	64.5742	64.5645	64.5684	64.5687
LR_2_mean[cache_size=0.2,treshold=0.5]	64.6566	64.6486	64.6515	64.6496
LR_3[cache_size=0.2,treshold=0.5]	50.875	50.8473	50.8564	50.8531
LR_3_log[cache_size=0.2,treshold=0.5]	64.5293	64.5195	64.5233	64.5228
LR_3_mean[cache_size=0.2,treshold=0.5]	64.6031	64.5946	64.5977	64.5957
LR_4[cache_size=0.2,treshold=0.5]	52.3069	52.2818	52.2895	52.2868
LR_4_log[cache_size=0.2,treshold=0.5]	65.5247	65.5156	65.5194	65.518
LR_4_mean[cache_size=0.2,treshold=0.5]	65.4767	65.4675	65.4722	65.4713
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	52.3161	52.2918	52.299	52.2956
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	52.3144	52.2895	52.297	52.2932
LR_5[cache_size=0.2,treshold=0.5]	52.307	52.2816	52.2894	52.2864
LR_5_imba[cache_size=0.2,treshold=0.5]	86.7098	86.6824	86.6945	86.6935
LR_6[cache_size=0.2,treshold=0.5]	52.3016	52.2765	52.2839	52.2808
LR_6_imba[cache_size=0.2,treshold=0.5]	86.7002	86.6735	86.6851	86.6837
LR_7[cache_size=0.2,treshold=0.3]	83.7699	83.747	83.755	83.7504
LR_7[cache_size=0.2,treshold=0.5]	64.4387	64.4283	64.4317	64.43
LR_7[cache_size=0.2,treshold=0.6]	47.9629	47.9344	47.9486	47.9476
LR_7[cache_size=0.2,treshold=0.7]	20.5382	20.516	20.5278	20.525
LR_7[cache_size=0.2,treshold=0.8]	0.000714631	0.000564855	0.000634739	0.000631533
LR_7[cache_size=0.2,treshold=0.9]	4.9858e-05	2.21512e-05	3.54487e-05	3.3232e-05
LR_8[cache_size=0.2,treshold=0.3]	83.9088	83.8831	83.8913	83.8872
LR_8[cache_size=0.2,treshold=0.5]	64.5758	64.5667	64.5704	64.5701
LR_8[cache_size=0.2,treshold=0.6]	47.9949	47.9657	47.9799	47.9789
LR_8[cache_size=0.2,treshold=0.7]	20.2506	20.2309	20.2397	20.2356
LR_8[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_8[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_9[cache_size=0.2,treshold=0.3]	83.9717	83.9454	83.9533	83.9483
LR_9[cache_size=0.2,treshold=0.5]	64.6332	64.6245	64.6284	64.629
LR_9[cache_size=0.2,treshold=0.6]	47.9965	47.9664	47.9809	47.9793
LR_9[cache_size=0.2,treshold=0.7]	20.0841	20.066	20.0744	20.0708
LR_9[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_9[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_10[cache_size=0.4,treshold=0.3]	76.9303	76.908	76.9145	76.9106
LR_10[cache_size=0.4,treshold=0.5]	50.9489	50.9349	50.9438	50.9464
LR_10[cache_size=0.4,treshold=0.6]	34.15	34.1391	34.1443	34.1449
LR_10[cache_size=0.4,treshold=0.7]	9.13262	9.11202	9.12143	9.11759
LR_10[cache_size=0.4,treshold=0.8]	0.0186612	0.017784	0.0181582	0.0181346
LR_10[cache_size=0.4,treshold=0.9]	0.0109344	0.0102446	0.0105435	0.0104426
LR_11[cache_size=0.4,treshold=0.3]	77.1578	77.0879	77.1189	77.1225
LR_11[cache_size=0.4,treshold=0.5]	50.9136	50.8969	50.9072	50.9101
LR_11[cache_size=0.4,treshold=0.6]	33.9787	33.9651	33.9714	33.9717
LR_11[cache_size=0.4,treshold=0.7]	8.73736	8.64091	8.68815	8.69015
LR_11[cache_size=0.4,treshold=0.8]	0.00832935	0.00766682	0.00807639	0.00805432
LR_11[cache_size=0.4,treshold=0.9]	0.00205078	0.00181006	0.00189812	0.00188746
LR_12[cache_size=0.4,treshold=0.3]	77.2316	77.2054	77.2139	77.2129
LR_12[cache_size=0.4,treshold=0.5]	50.9266	50.9126	50.9215	50.9242
LR_12[cache_size=0.4,treshold=0.6]	33.9334	33.9216	33.9271	33.9277
LR_12[cache_size=0.4,treshold=0.7]	8.54139	8.51295	8.52589	8.52181
LR_12[cache_size=0.4,treshold=0.8]	0.00810039	0.00762969	0.00791551	0.00798041
LR_12[cache_size=0.4,treshold=0.9]	0.00197345	0.00178531	0.00186192	0.00184709
LR_13[cache_size=0.4,treshold=0.3]	79.7959	79.7707	79.7821	79.7794
LR_13[cache_size=0.4,treshold=0.5]	56.8821	56.8772	56.8796	56.8796
LR_13[cache_size=0.4,treshold=0.6]	37.4317	37.4198	37.4265	37.4261
LR_13[cache_size=0.4,treshold=0.7]	4.59219	4.56944	4.58143	4.58078
LR_13[cache_size=0.4,treshold=0.8]	0.00822766	0.00764558	0.00791799	0.00784122
LR_13[cache_size=0.4,treshold=0.9]	0.00372859	0.00342191	0.00353946	0.00352004
LR_14[cache_size=0.4,treshold=0.3]	79.7923	79.7675	79.7787	79.7763
LR_14[cache_size=0.4,treshold=0.5]	56.8712	56.8663	56.8686	56.8685
LR_14[cache_size=0.4,treshold=0.6]	37.4622	37.4499	37.4573	37.4572
LR_14[cache_size=0.4,treshold=0.7]	4.6881	4.66267	4.67491	4.67321
LR_14[cache_size=0.4,treshold=0.8]	0.00791513	0.00743518	0.00766738	0.00765872
LR_14[cache_size=0.4,treshold=0.9]	0.00371931	0.00340026	0.00353265	0.00352004
LR_15[cache_size=0.4,treshold=0.3]	79.8184	79.7927	79.8045	79.8023
LR_15[cache_size=0.4,treshold=0.5]	56.8987	56.8941	56.8963	56.8963
LR_15[cache_size=0.4,treshold=0.6]	37.4239	37.4122	37.4186	37.4181
LR_15[cache_size=0.4,treshold=0.7]	4.51422	4.49214	4.50309	4.50226
LR_15[cache_size=0.4,treshold=0.8]	0.00824003	0.00772293	0.00794398	0.00786287
LR_15[cache_size=0.4,treshold=0.9]	0.00371621	0.00339407	0.00352523	0.00350458
LR_1[cache_size=0.4,treshold=0.5]	44.3925	44.3687	44.3807	44.382
LR_1_log[cache_size=0.4,treshold=0.5]	58.8533	58.8393	58.8452	58.8442
LR_1_mean[cache_size=0.4,treshold=0.5]	58.9896	58.9777	58.9825	58.9807
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	44.3926	44.3684	44.3808	44.3821
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	44.3921	44.3676	44.3801	44.3816
LR_2[cache_size=0.4,treshold=0.5]	44.3922	44.3656	44.3794	44.3798
LR_2_log[cache_size=0.4,treshold=0.5]	58.9235	58.9101	58.916	58.9152
LR_2_mean[cache_size=0.4,treshold=0.5]	59.0887	59.0744	59.0821	59.0832
LR_3[cache_size=0.4,treshold=0.5]	44.3866	44.3595	44.3734	44.3741
LR_3_log[cache_size=0.4,treshold=0.5]	58.8898	58.876	58.8817	58.88
LR_3_mean[cache_size=0.4,treshold=0.5]	59.0535	59.0404	59.0479	59.0488
LR_4[cache_size=0.4,treshold=0.5]	47.3341	47.3161	47.3269	47.328
LR_4_log[cache_size=0.4,treshold=0.5]	57.66	57.6504	57.6545	57.6545
LR_4_mean[cache_size=0.4,treshold=0.5]	58.2127	58.1994	58.2039	58.2022
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	47.3341	47.3167	47.3268	47.3277
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	47.3135	47.2966	47.3068	47.3078
LR_5[cache_size=0.4,treshold=0.5]	47.333	47.3153	47.3255	47.3264
LR_5_imba[cache_size=0.4,treshold=0.5]	63.8715	63.8557	63.8637	63.8643
LR_6[cache_size=0.4,treshold=0.5]	47.3246	47.3073	47.3174	47.3185
LR_6_imba[cache_size=0.4,treshold=0.5]	63.8617	63.8462	63.8543	63.8549
LR_7[cache_size=0.4,treshold=0.3]	82.6636	82.6517	82.6574	82.6576
LR_7[cache_size=0.4,treshold=0.5]	58.8613	58.8492	58.856	58.8576
LR_7[cache_size=0.4,treshold=0.6]	36.525	36.509	36.5186	36.5205
LR_7[cache_size=0.4,treshold=0.7]	0.0598249	0.0588934	0.0593094	0.0591997
LR_7[cache_size=0.4,treshold=0.8]	0.016233	0.0157954	0.0159684	0.015879
LR_7[cache_size=0.4,treshold=0.9]	0.0138327	0.0131252	0.0134153	0.0133349
LR_8[cache_size=0.4,treshold=0.3]	82.9483	82.9326	82.9406	82.9413
LR_8[cache_size=0.4,treshold=0.5]	59.0477	59.034	59.0413	59.0426
LR_8[cache_size=0.4,treshold=0.6]	36.3088	36.2915	36.3009	36.3037
LR_8[cache_size=0.4,treshold=0.7]	0.0377267	0.0364858	0.0368858	0.0365835
LR_8[cache_size=0.4,treshold=0.8]	0	0	0	0
LR_8[cache_size=0.4,treshold=0.9]	0	0	0	0
LR_9[cache_size=0.4,treshold=0.3]	83.0086	82.9942	83.0019	83.003
LR_9[cache_size=0.4,treshold=0.5]	59.0808	59.0669	59.0739	59.0748
LR_9[cache_size=0.4,treshold=0.6]	36.2503	36.2326	36.2417	36.243
LR_9[cache_size=0.4,treshold=0.7]	0.0369191	0.0353162	0.0359428	0.0356269
LR_9[cache_size=0.4,treshold=0.8]	0	0	0	0
LR_9[cache_size=0.4,treshold=0.9]	0	0	0	0
Offline Clock 1st iteration	0	0	0	0
Offline Clock 2nd iteration	99.8119	59.132	82.3408	83.126
Zipf Optimal Distribution	99.9168	54.4937	83.9515	89.1265

Miss Ratio Reduced (%)

Model	Max	Min	Avg	Mdn
LR_10[cache_size=0.001,treshold=0.3]	0	0	0	0
LR_10[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_10[cache_size=0.001,treshold=0.6]	0	0	0	0
LR_10[cache_size=0.001,treshold=0.7]	0	0	0	0
LR_10[cache_size=0.001,treshold=0.8]	0	0	0	0
LR_10[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_10[cache_size=All,treshold=0.3]	0.00798719	-0.00362421	0.00086107	0.000202019
LR_10[cache_size=All,treshold=0.5]	0.00565776	-0.0019968	0.000724704	0.000101011
LR_10[cache_size=All,treshold=0.6]	0.00815363	-0.00183045	0.000486782	0
LR_10[cache_size=All,treshold=0.7]	0.00249601	-0.00282888	-1.46201e-05	0
LR_10[cache_size=All,treshold=0.8]	0.000333323	-0.000332784	1.1821e-05	0
LR_10[cache_size=All,treshold=0.9]	0.000444431	-0.000222218	-1.34833e-05	0
LR_11[cache_size=0.001,treshold=0.3]	0	0	0	0
LR_11[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_11[cache_size=0.001,treshold=0.6]	0	0	0	0
LR_11[cache_size=0.001,treshold=0.7]	0	0	0	0
LR_11[cache_size=0.001,treshold=0.8]	0	0	0	0
LR_11[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_11[cache_size=All,treshold=0.3]	0.00798719	-0.00374918	0.000828169	0.000202019
LR_11[cache_size=All,treshold=0.5]	0.00582416	-0.001664	0.000733458	0
LR_11[cache_size=All,treshold=0.6]	0.00881924	-0.00249607	0.000439082	0
LR_11[cache_size=All,treshold=0.7]	0.00299521	-0.00183045	0.000116297	0
LR_11[cache_size=All,treshold=0.8]	0.000499202	-0.0003328	6.41822e-06	0
LR_11[cache_size=All,treshold=0.9]	0.000444431	-0.000333327	-1.34835e-05	0
LR_12[cache_size=0.001,treshold=0.3]	0	0	0	0
LR_12[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_12[cache_size=0.001,treshold=0.6]	0	0	0	0
LR_12[cache_size=0.001,treshold=0.7]	0	0	0	0
LR_12[cache_size=0.001,treshold=0.8]	0	0	0	0
LR_12[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_12[cache_size=All,treshold=0.3]	0.00798719	-0.00362421	0.000874789	0.000202019
LR_12[cache_size=All,treshold=0.5]	0.00582416	-0.0014976	0.00073348	0
LR_12[cache_size=All,treshold=0.6]	0.00881924	-0.00332809	0.000474746	0
LR_12[cache_size=All,treshold=0.7]	0.0014976	-0.00133124	3.36536e-05	0
LR_12[cache_size=All,treshold=0.8]	0.000499202	-0.0003328	1.50536e-05	0
LR_12[cache_size=All,treshold=0.9]	0.000333323	-0.000222218	-9.03926e-06	0
LR_13[cache_size=0.001,treshold=0.3]	0	0	0	0
LR_13[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_13[cache_size=0.001,treshold=0.6]	0	0	0	0
LR_13[cache_size=0.001,treshold=0.7]	0	0	0	0
LR_13[cache_size=0.001,treshold=0.8]	0	0	0	0
LR_13[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_13[cache_size=All,treshold=0.3]	0.00815359	-0.00349923	0.000893184	0.000202019
LR_13[cache_size=All,treshold=0.5]	0.00798742	-0.0027494	0.000570512	0
LR_13[cache_size=All,treshold=0.6]	0.00698883	-0.00232966	0.000463697	0
LR_13[cache_size=All,treshold=0.7]	0	-0.000101011	-4.04044e-06	0
LR_13[cache_size=All,treshold=0.8]	0	0	0	0
LR_13[cache_size=All,treshold=0.9]	0	0	0	0
LR_14[cache_size=0.001,treshold=0.3]	0	0	0	0
LR_14[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_14[cache_size=0.001,treshold=0.6]	0	0	0	0
LR_14[cache_size=0.001,treshold=0.7]	0	0	0	0
LR_14[cache_size=0.001,treshold=0.8]	0	0	0	0
LR_14[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_14[cache_size=All,treshold=0.3]	0.00765439	-0.00362421	0.000956058	0.000303024
LR_14[cache_size=All,treshold=0.5]	0.00798742	-0.0027494	0.000578826	0
LR_14[cache_size=All,treshold=0.6]	0.00815363	-0.00216326	0.000490321	0
LR_14[cache_size=All,treshold=0.7]	0	0	0	0
LR_14[cache_size=All,treshold=0.8]	0	0	0	0
LR_14[cache_size=All,treshold=0.9]	0	0	0	0
LR_15[cache_size=0.001,treshold=0.3]	0	0	0	0
LR_15[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_15[cache_size=0.001,treshold=0.6]	0	0	0	0
LR_15[cache_size=0.001,treshold=0.7]	0	0	0	0
LR_15[cache_size=0.001,treshold=0.8]	0	0	0	0
LR_15[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_15[cache_size=All,treshold=0.3]	0.00732159	-0.00362421	0.000975453	0.000303024
LR_15[cache_size=All,treshold=0.5]	0.00798742	-0.0027494	0.000577169	0
LR_15[cache_size=All,treshold=0.6]	0.00798723	-0.00266247	0.00045704	0
LR_15[cache_size=All,treshold=0.7]	0	0	0	0
LR_15[cache_size=All,treshold=0.8]	0	-0.000101011	-4.04044e-06	0
LR_15[cache_size=All,treshold=0.9]	0	0	0	0
LR_1[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_1[cache_size=All,treshold=0.5]	0.00532482	-0.00188883	0.000525088	0.000101009
LR_1_log[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_1_log[cache_size=All,treshold=0.5]	0.0073218	-0.00277769	0.000580182	0.000101009
LR_1_mean[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_1_mean[cache_size=All,treshold=0.5]	0.00931796	-0.00224951	0.00058113	0
LR_1_robust_scaler[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_1_robust_scaler[cache_size=All,treshold=0.5]	0.00515842	-0.00199994	0.000537268	0
LR_1_std_scaler[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_1_std_scaler[cache_size=All,treshold=0.5]	0.00499202	-0.00199994	0.000510644	0
LR_2[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_2[cache_size=All,treshold=0.5]	0.00549122	-0.0031616	0.000404233	0.000101009
LR_2_log[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_2_log[cache_size=All,treshold=0.5]	0.0071554	-0.0029952	0.00060741	0.000101009
LR_2_mean[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_2_mean[cache_size=All,treshold=0.5]	0.00782043	-0.00274943	0.000632778	0
LR_3[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_3[cache_size=All,treshold=0.5]	0.00549122	-0.0031616	0.000398132	0.000101009
LR_3_log[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_3_log[cache_size=All,treshold=0.5]	0.0073218	-0.0031616	0.000559132	0.000101009
LR_3_mean[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_3_mean[cache_size=All,treshold=0.5]	0.00715486	-0.00287441	0.00056953	0
LR_4[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_4[cache_size=All,treshold=0.5]	0.00599043	-0.00374923	0.000425564	0.000202019
LR_4_log[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_4_log[cache_size=All,treshold=0.5]	0.00615683	-0.00224954	0.000678864	0.000202019
LR_4_mean[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_4_mean[cache_size=All,treshold=0.5]	0.00682243	-0.00324933	0.000653643	0.000202019
LR_4_robust_scaler[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_4_robust_scaler[cache_size=All,treshold=0.5]	0.00549199	-0.00374923	0.000408286	0.000101012
LR_4_std_scaler[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_4_std_scaler[cache_size=All,treshold=0.5]	0.00532557	-0.00374923	0.000411626	0.000101012
LR_5[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_5[cache_size=All,treshold=0.5]	0.00549199	-0.00374923	0.000405525	0.000101012
LR_5_imba[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_5_imba[cache_size=All,treshold=0.5]	0.0106499	-0.0027494	0.00114351	0.000111109
LR_6[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_6[cache_size=All,treshold=0.5]	0.00549199	-0.00374923	0.000410524	0.000101012
LR_6_imba[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_6_imba[cache_size=All,treshold=0.5]	0.0106499	-0.0027494	0.00114517	0.000111109
LR_7[cache_size=0.001,treshold=0.3]	0	0	0	0
LR_7[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_7[cache_size=0.001,treshold=0.6]	0	0	0	0
LR_7[cache_size=0.001,treshold=0.7]	0	-0.0001001	-2.002e-05	0
LR_7[cache_size=0.001,treshold=0.8]	0	0	0	0
LR_7[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_7[cache_size=All,treshold=0.3]	0.00499176	-0.0038742	0.000645072	0.000303024
LR_7[cache_size=All,treshold=0.5]	0.00981787	-0.00399918	0.000555027	0.000101009
LR_7[cache_size=All,treshold=0.6]	0.00532482	-0.00188883	0.000320982	0
LR_7[cache_size=All,treshold=0.7]	0.00149761	-0.00155551	-9.70986e-05	0
LR_7[cache_size=All,treshold=0.8]	0.000555525	-0.000888862	-1.58246e-05	0
LR_7[cache_size=All,treshold=0.9]	0.000124961	-0.000249935	-3.27375e-05	0
LR_8[cache_size=0.001,treshold=0.3]	0	0	0	0
LR_8[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_8[cache_size=0.001,treshold=0.6]	0	0	0	0
LR_8[cache_size=0.001,treshold=0.7]	0	0	0	0
LR_8[cache_size=0.001,treshold=0.8]	0	0	0	0
LR_8[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_8[cache_size=All,treshold=0.3]	0.00549094	-0.0038742	0.000693896	0.000303024
LR_8[cache_size=All,treshold=0.5]	0.00998427	-0.00399918	0.000548179	0.000101009
LR_8[cache_size=All,treshold=0.6]	0.00582402	-0.00188883	0.000281043	0
LR_8[cache_size=All,treshold=0.7]	0.00149761	-0.00166662	-8.65525e-05	0
LR_8[cache_size=All,treshold=0.8]	0.00066663	-0.000888862	-1.6379e-05	0
LR_8[cache_size=All,treshold=0.9]	0.000124961	-0.000249935	-3.27373e-05	0
LR_9[cache_size=0.001,treshold=0.3]	0	0	0	0
LR_9[cache_size=0.001,treshold=0.5]	0	0	0	0
LR_9[cache_size=0.001,treshold=0.6]	0	0	0	0
LR_9[cache_size=0.001,treshold=0.7]	0	0	0	0
LR_9[cache_size=0.001,treshold=0.8]	0	0	0	0
LR_9[cache_size=0.001,treshold=0.9]	0	0	0	0
LR_9[cache_size=All,treshold=0.3]	0.00499176	-0.00362425	0.000674895	0.000303024
LR_9[cache_size=All,treshold=0.5]	0.00965147	-0.00399918	0.0005532	0.000101009
LR_9[cache_size=All,treshold=0.6]	0.00482562	-0.00188883	0.000285484	0
LR_9[cache_size=All,treshold=0.7]	0.00133121	-0.00166662	-9.98647e-05	0
LR_9[cache_size=All,treshold=0.8]	0.00066663	-0.000888862	-9.16771e-06	0
LR_9[cache_size=All,treshold=0.9]	0.000124961	-0.000249935	-3.27375e-05	0
LR_10[cache_size=0.01,treshold=0.3]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_10[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_10[cache_size=0.01,treshold=0.6]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_10[cache_size=0.01,treshold=0.7]	0	-0.000101011	-4.04041e-05	0
LR_10[cache_size=0.01,treshold=0.8]	0	0	0	0
LR_10[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_11[cache_size=0.01,treshold=0.3]	0.000404032	-0.000202021	0.000121211	0.000101012
LR_11[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	8.08066e-05	0.000101011
LR_11[cache_size=0.01,treshold=0.6]	0.000202016	-0.000202021	4.04031e-05	0.000101009
LR_11[cache_size=0.01,treshold=0.7]	0.000202019	0	6.06053e-05	0
LR_11[cache_size=0.01,treshold=0.8]	0	0	0	0
LR_11[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_12[cache_size=0.01,treshold=0.3]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_12[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	8.08066e-05	0.000101011
LR_12[cache_size=0.01,treshold=0.6]	0.000202016	-0.000202021	4.04031e-05	0.000101009
LR_12[cache_size=0.01,treshold=0.7]	0.000202019	0	6.06053e-05	0
LR_12[cache_size=0.01,treshold=0.8]	0	0	0	0
LR_12[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_13[cache_size=0.01,treshold=0.3]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_13[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_13[cache_size=0.01,treshold=0.6]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_13[cache_size=0.01,treshold=0.7]	0	-0.000101011	-4.04041e-05	0
LR_13[cache_size=0.01,treshold=0.8]	0	0	0	0
LR_13[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_14[cache_size=0.01,treshold=0.3]	0.000404032	-0.000202021	0.000121211	0.000101012
LR_14[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	8.08066e-05	0.000101011
LR_14[cache_size=0.01,treshold=0.6]	0.000202016	-0.000202021	4.04031e-05	0.000101009
LR_14[cache_size=0.01,treshold=0.7]	0.000202019	0	0.00010101	0.000101011
LR_14[cache_size=0.01,treshold=0.8]	0	-0.000101012	-2.02025e-05	0
LR_14[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_15[cache_size=0.01,treshold=0.3]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_15[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	8.08066e-05	0.000101011
LR_15[cache_size=0.01,treshold=0.6]	0.000202016	-0.000202021	4.04031e-05	0.000101009
LR_15[cache_size=0.01,treshold=0.7]	0.000202019	0	0.00010101	0.000101011
LR_15[cache_size=0.01,treshold=0.8]	0	-0.000101011	-4.04041e-05	0
LR_15[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_1[cache_size=0.01,treshold=0.5]	0.000202022	-0.00010101	6.06058e-05	0.000101008
LR_1_log[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_1_mean[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_1_robust_scaler[cache_size=0.01,treshold=0.5]	0.000202022	-0.00010101	6.06058e-05	0.000101008
LR_1_std_scaler[cache_size=0.01,treshold=0.5]	0.000202022	-0.00010101	6.06058e-05	0.000101008
LR_2[cache_size=0.01,treshold=0.5]	0.000202022	-0.00010101	6.06058e-05	0.000101008
LR_2_log[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_2_mean[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_3[cache_size=0.01,treshold=0.5]	0.000202022	-0.00010101	8.08083e-05	0.000101009
LR_3_log[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_3_mean[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_4[cache_size=0.01,treshold=0.5]	0.000202022	-0.00010101	6.06058e-05	0.000101008
LR_4_log[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_4_mean[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_4_robust_scaler[cache_size=0.01,treshold=0.5]	0.000202022	-0.00010101	6.06058e-05	0.000101008
LR_4_std_scaler[cache_size=0.01,treshold=0.5]	0.000202022	-0.00010101	6.06058e-05	0.000101008
LR_5[cache_size=0.01,treshold=0.5]	0.000202022	-0.00010101	6.06058e-05	0.000101008
LR_5_imba[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_6[cache_size=0.01,treshold=0.5]	0.000202022	-0.00010101	8.08083e-05	0.000101009
LR_6_imba[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_7[cache_size=0.01,treshold=0.3]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_7[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_7[cache_size=0.01,treshold=0.6]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_7[cache_size=0.01,treshold=0.7]	0	0	0	0
LR_7[cache_size=0.01,treshold=0.8]	0	0	0	0
LR_7[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_8[cache_size=0.01,treshold=0.3]	0.000404032	-0.000202021	0.000121211	0.000101012
LR_8[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_8[cache_size=0.01,treshold=0.6]	0.000202016	-0.000202021	4.04031e-05	0.000101009
LR_8[cache_size=0.01,treshold=0.7]	0.000202019	0	0.000101009	0.000101011
LR_8[cache_size=0.01,treshold=0.8]	0	0	0	0
LR_8[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_9[cache_size=0.01,treshold=0.3]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_9[cache_size=0.01,treshold=0.5]	0.000303024	-0.000202021	0.000101009	0.000101012
LR_9[cache_size=0.01,treshold=0.6]	0.000202016	-0.00010101	8.08077e-05	0.000101011
LR_9[cache_size=0.01,treshold=0.7]	0.000202019	0	0.000101009	0.000101011
LR_9[cache_size=0.01,treshold=0.8]	0	0	0	0
LR_9[cache_size=0.01,treshold=0.9]	0	0	0	0
LR_10[cache_size=0.1,treshold=0.3]	0.000777762	-0.00211105	0.000133324	0.000666628
LR_10[cache_size=0.1,treshold=0.5]	0.000999978	-0.000888862	0.000288878	0.000555544
LR_10[cache_size=0.1,treshold=0.6]	0.000555523	-0.000888862	-2.22221e-05	0.000111109
LR_10[cache_size=0.1,treshold=0.7]	0.000777735	-0.00099997	-2.22259e-05	0.000111105
LR_10[cache_size=0.1,treshold=0.8]	0.000111109	-0.000111105	2.22218e-05	0
LR_10[cache_size=0.1,treshold=0.9]	0.000111109	-0.000111109	-2.22209e-05	0
LR_11[cache_size=0.1,treshold=0.3]	0.000777733	-0.00211105	0.000111102	0.00066663
LR_11[cache_size=0.1,treshold=0.5]	0.000999978	-0.00099997	0.000266657	0.000555544
LR_11[cache_size=0.1,treshold=0.6]	0.000444435	-0.000888862	-4.4443e-05	0.000111109
LR_11[cache_size=0.1,treshold=0.7]	0.000777735	-0.00099997	-2.22259e-05	0.000111105
LR_11[cache_size=0.1,treshold=0.8]	0.000111109	-0.000111105	2.22218e-05	0
LR_11[cache_size=0.1,treshold=0.9]	0.000111109	-0.000111109	-2.22209e-05	0
LR_12[cache_size=0.1,treshold=0.3]	0.000777762	-0.00211105	0.000133324	0.000666628
LR_12[cache_size=0.1,treshold=0.5]	0.000999978	-0.00099997	0.000266657	0.000555544
LR_12[cache_size=0.1,treshold=0.6]	0.000555523	-0.000888862	-6.66656e-05	0
LR_12[cache_size=0.1,treshold=0.7]	0.000777735	-0.00111108	-3.13551e-09	0
LR_12[cache_size=0.1,treshold=0.8]	0.000111105	-0.000111109	-2.22217e-05	0
LR_12[cache_size=0.1,treshold=0.9]	0.000111109	-0.000111109	-2.22209e-05	0
LR_13[cache_size=0.1,treshold=0.3]	0.00122215	-0.00222216	6.66594e-05	0.000333327
LR_13[cache_size=0.1,treshold=0.5]	0.00133326	-0.000777754	0.000399985	0.000777762
LR_13[cache_size=0.1,treshold=0.6]	0.00111109	-0.00099997	0.000355539	0.00044442
LR_13[cache_size=0.1,treshold=0.7]	0.000555525	-0.00233326	-0.000511093	0
LR_13[cache_size=0.1,treshold=0.8]	0	0	0	0
LR_13[cache_size=0.1,treshold=0.9]	0	0	0	0
LR_14[cache_size=0.1,treshold=0.3]	0.00122215	-0.00222216	8.88804e-05	0.000333327
LR_14[cache_size=0.1,treshold=0.5]	0.00111105	-0.000777754	0.000355543	0.000666653
LR_14[cache_size=0.1,treshold=0.6]	0.0012222	-0.000666647	0.000399981	0.000555525
LR_14[cache_size=0.1,treshold=0.7]	0.000777735	-0.00233326	-0.000333324	0.000111109
LR_14[cache_size=0.1,treshold=0.8]	0	0	0	0
LR_14[cache_size=0.1,treshold=0.9]	0	0	0	0
LR_15[cache_size=0.1,treshold=0.3]	0.00122215	-0.00222216	8.88804e-05	0.000333327
LR_15[cache_size=0.1,treshold=0.5]	0.00111105	-0.000777754	0.000355543	0.000666653
LR_15[cache_size=0.1,treshold=0.6]	0.0012222	-0.000777754	0.00037776	0.000555525
LR_15[cache_size=0.1,treshold=0.7]	0.00066663	-0.00222216	-0.000333324	0.000111109
LR_15[cache_size=0.1,treshold=0.8]	0	0	0	0
LR_15[cache_size=0.1,treshold=0.9]	0	0	0	0
LR_1[cache_size=0.1,treshold=0.5]	0.00077776	-0.00111108	0.000111108	0.00022221
LR_1_log[cache_size=0.1,treshold=0.5]	0.00133326	-0.000888862	0.000399982	0.000222218
LR_1_mean[cache_size=0.1,treshold=0.5]	0.00133326	-0.00099997	0.000355539	0.000111109
LR_1_robust_scaler[cache_size=0.1,treshold=0.5]	0.000666652	-0.00111108	8.88858e-05	0.00022221
LR_1_std_scaler[cache_size=0.1,treshold=0.5]	0.000666652	-0.00111108	8.88858e-05	0.00022221
LR_2[cache_size=0.1,treshold=0.5]	0.000555543	-0.00122219	4.44425e-05	0.000333314
LR_2_log[cache_size=0.1,treshold=0.5]	0.0012222	-0.000777754	0.000533309	0.000777735
LR_2_mean[cache_size=0.1,treshold=0.5]	0.0012222	-0.000777754	0.000511088	0.00066663
LR_3[cache_size=0.1,treshold=0.5]	0.000555543	-0.00111108	4.44422e-05	0.000333314
LR_3_log[cache_size=0.1,treshold=0.5]	0.00133326	-0.000777754	0.000533309	0.00066663
LR_3_mean[cache_size=0.1,treshold=0.5]	0.0013333	-0.000777754	0.000555532	0.00066663
LR_4[cache_size=0.1,treshold=0.5]	0.000666652	-0.00111108	6.66631e-05	0.000222218
LR_4_log[cache_size=0.1,treshold=0.5]	0.00133326	-0.00099997	0.000355541	0.000666653
LR_4_mean[cache_size=0.1,treshold=0.5]	0.00133326	-0.00099997	0.000288877	0.000444436
LR_4_robust_scaler[cache_size=0.1,treshold=0.5]	0.000666652	-0.00111108	6.66631e-05	0.000222218
LR_4_std_scaler[cache_size=0.1,treshold=0.5]	0.000666652	-0.00111108	6.66631e-05	0.000222218
LR_5[cache_size=0.1,treshold=0.5]	0.000666652	-0.00111108	6.66631e-05	0.000222218
LR_5_imba[cache_size=0.1,treshold=0.5]	0.000888869	-0.00177772	6.66603e-05	0.000333315
LR_6[cache_size=0.1,treshold=0.5]	0.000666652	-0.00111108	6.66631e-05	0.000222218
LR_6_imba[cache_size=0.1,treshold=0.5]	0.000888869	-0.00177772	6.66603e-05	0.000333315
LR_7[cache_size=0.1,treshold=0.3]	0.000777733	-0.00211105	8.88807e-05	0.00066663
LR_7[cache_size=0.1,treshold=0.5]	0.0013333	-0.000888862	0.000399983	0.000222218
LR_7[cache_size=0.1,treshold=0.6]	0.000666652	-0.00099997	-1.65414e-09	0
LR_7[cache_size=0.1,treshold=0.7]	0.00066663	-0.00155551	-0.000155551	0.000111109
LR_7[cache_size=0.1,treshold=0.8]	0	0	0	0
LR_7[cache_size=0.1,treshold=0.9]	0	0	0	0
LR_8[cache_size=0.1,treshold=0.3]	0.00111105	-0.00211105	0.000133322	0.000555543
LR_8[cache_size=0.1,treshold=0.5]	0.0013333	-0.000888862	0.000511088	0.000555525
LR_8[cache_size=0.1,treshold=0.6]	0.00077776	-0.00099997	0.000111107	0.000333314
LR_8[cache_size=0.1,treshold=0.7]	0.000999946	-0.000666647	0.000111102	0.000111105
LR_8[cache_size=0.1,treshold=0.8]	0	0	0	0
LR_8[cache_size=0.1,treshold=0.9]	0	0	0	0
LR_9[cache_size=0.1,treshold=0.3]	0.00111105	-0.00211105	0.000155543	0.00066663
LR_9[cache_size=0.1,treshold=0.5]	0.0012222	-0.000666647	0.00053331	0.000555525
LR_9[cache_size=0.1,treshold=0.6]	0.000888869	-0.00111108	0.000133328	0.000333314
LR_9[cache_size=0.1,treshold=0.7]	0.000999946	-0.000777754	8.88818e-05	0
LR_9[cache_size=0.1,treshold=0.8]	0	0	0	0
LR_9[cache_size=0.1,treshold=0.9]	0	0	0	0
LR_10[cache_size=0.2,treshold=0.3]	0.00349909	-0.00424912	-0.000724897	-0.000124961
LR_10[cache_size=0.2,treshold=0.5]	0.00149954	-0.00312436	-0.000449951	0.000249922
LR_10[cache_size=0.2,treshold=0.6]	0.00299907	-0.00299938	-8.26455e-08	0.000249922
LR_10[cache_size=0.2,treshold=0.7]	0.00149954	-0.00112477	0.000349862	0.000374903
LR_10[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_10[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_11[cache_size=0.2,treshold=0.3]	0.00349909	-0.00424912	-0.00074989	-0.000124961
LR_11[cache_size=0.2,treshold=0.5]	0.0016245	-0.00274943	-0.000324982	0.000374883
LR_11[cache_size=0.2,treshold=0.6]	0.00274915	-0.00312436	-7.50634e-05	0.000374883
LR_11[cache_size=0.2,treshold=0.7]	0.00149954	-0.00124974	0.000324872	0.000749805
LR_11[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_11[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_12[cache_size=0.2,treshold=0.3]	0.00349909	-0.00412415	-0.000749887	-0.000249923
LR_12[cache_size=0.2,treshold=0.5]	0.00137464	-0.00262446	-0.000324979	0.000499844
LR_12[cache_size=0.2,treshold=0.6]	0.00274915	-0.00312436	-2.50753e-05	0.000374883
LR_12[cache_size=0.2,treshold=0.7]	0.00137458	-0.000999794	0.000374866	0.000749805
LR_12[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_12[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_13[cache_size=0.2,treshold=0.3]	0.00324916	-0.00487399	-0.00092486	0
LR_13[cache_size=0.2,treshold=0.5]	0.00124968	-0.00324933	-0.000624897	-0.000124961
LR_13[cache_size=0.2,treshold=0.6]	0.00174946	-0.00262446	-0.000524918	-0.000374883
LR_13[cache_size=0.2,treshold=0.7]	0.00087473	-0.000249948	0.000324899	0.000374883
LR_13[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_13[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_14[cache_size=0.2,treshold=0.3]	0.00324916	-0.00487399	-0.00092486	0
LR_14[cache_size=0.2,treshold=0.5]	0.00124968	-0.00324933	-0.00064989	-0.000124961
LR_14[cache_size=0.2,treshold=0.6]	0.00174946	-0.00262446	-0.000399954	0
LR_14[cache_size=0.2,treshold=0.7]	0.000749805	-0.000374918	0.000249918	0.000374883
LR_14[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_14[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_15[cache_size=0.2,treshold=0.3]	0.00324916	-0.00487399	-0.000874876	0.000124961
LR_15[cache_size=0.2,treshold=0.5]	0.00137464	-0.0033743	-0.000699878	-0.000249922
LR_15[cache_size=0.2,treshold=0.6]	0.0016245	-0.00262446	-0.000449938	-0.000124961
LR_15[cache_size=0.2,treshold=0.7]	0.000874773	-0.000374918	0.000174943	0
LR_15[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_15[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_1[cache_size=0.2,treshold=0.5]	0.00212434	-0.00287441	-0.000274988	-0.000499844
LR_1_log[cache_size=0.2,treshold=0.5]	0.00187451	-0.00324933	-0.000374966	-0.000374883
LR_1_mean[cache_size=0.2,treshold=0.5]	0.00199948	-0.00324933	-0.000349968	-0.000374883
LR_1_robust_scaler[cache_size=0.2,treshold=0.5]	0.00224931	-0.00287441	-0.000249996	-0.000499844
LR_1_std_scaler[cache_size=0.2,treshold=0.5]	0.00224931	-0.00287441	-0.000249996	-0.000499844
LR_2[cache_size=0.2,treshold=0.5]	0.00212434	-0.00287441	-0.000399959	-0.000499844
LR_2_log[cache_size=0.2,treshold=0.5]	0.00199948	-0.00324933	-0.000374967	-0.000374883
LR_2_mean[cache_size=0.2,treshold=0.5]	0.00187451	-0.00299938	-0.000399955	-0.000374883
LR_3[cache_size=0.2,treshold=0.5]	0.00199938	-0.00299938	-0.000424951	-0.000499844
LR_3_log[cache_size=0.2,treshold=0.5]	0.00199948	-0.00324933	-0.000399962	-0.000249922
LR_3_mean[cache_size=0.2,treshold=0.5]	0.00199948	-0.00324933	-0.000424954	-0.000374883
LR_4[cache_size=0.2,treshold=0.5]	0.00262419	-0.00274943	-0.000100038	-0.000749766
LR_4_log[cache_size=0.2,treshold=0.5]	0.00212445	-0.0038742	-0.00052493	-0.000124961
LR_4_mean[cache_size=0.2,treshold=0.5]	0.00174955	-0.00362425	-0.000624907	0
LR_4_robust_scaler[cache_size=0.2,treshold=0.5]	0.00262419	-0.00274943	-7.50445e-05	-0.000624805
LR_4_std_scaler[cache_size=0.2,treshold=0.5]	0.00262419	-0.00274943	-0.000100038	-0.000749766
LR_5[cache_size=0.2,treshold=0.5]	0.00262419	-0.00274943	-0.000100038	-0.000749766
LR_5_imba[cache_size=0.2,treshold=0.5]	0.00287425	-0.0041241	-0.000599944	0.000499846
LR_6[cache_size=0.2,treshold=0.5]	0.00262419	-0.00274943	-7.50432e-05	-0.000749766
LR_6_imba[cache_size=0.2,treshold=0.5]	0.00287425	-0.00424907	-0.000624936	0.000499846
LR_7[cache_size=0.2,treshold=0.3]	0.00374903	-0.00512394	-0.000899861	0
LR_7[cache_size=0.2,treshold=0.5]	0.00174955	-0.0033743	-0.000449947	-0.000374883
LR_7[cache_size=0.2,treshold=0.6]	0.00187442	-0.00212456	-0.000274984	0.000124961
LR_7[cache_size=0.2,treshold=0.7]	0.0016245	-0.00149969	0.000174909	0.000124968
LR_7[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_7[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_8[cache_size=0.2,treshold=0.3]	0.00362406	-0.00512394	-0.000899862	0.000249923
LR_8[cache_size=0.2,treshold=0.5]	0.00187451	-0.0033743	-0.000449946	-0.000249922
LR_8[cache_size=0.2,treshold=0.6]	0.00174946	-0.00224954	-0.000349965	0.000124961
LR_8[cache_size=0.2,treshold=0.7]	0.00124961	-0.00137472	0.000199907	0.000249935
LR_8[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_8[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_9[cache_size=0.2,treshold=0.3]	0.00362406	-0.00512394	-0.000949849	0.000124961
LR_9[cache_size=0.2,treshold=0.5]	0.00199948	-0.0033743	-0.00039996	-0.000249922
LR_9[cache_size=0.2,treshold=0.6]	0.00174946	-0.00224954	-0.00032497	0.000124961
LR_9[cache_size=0.2,treshold=0.7]	0.00112465	-0.00137472	0.000174917	0.000249935
LR_9[cache_size=0.2,treshold=0.8]	0	0	0	0
LR_9[cache_size=0.2,treshold=0.9]	0	0	0	0
LR_10[cache_size=0.4,treshold=0.3]	0.0071554	-0.000665599	0.00256262	0.00199709
LR_10[cache_size=0.4,treshold=0.5]	0.00532482	0	0.00203006	0.000831999
LR_10[cache_size=0.4,treshold=0.6]	0.00632323	-0.00282888	0.00189691	0.0013312
LR_10[cache_size=0.4,treshold=0.7]	0.00482562	-0.00183031	0.000698878	-0.000499272
LR_10[cache_size=0.4,treshold=0.8]	0.000166405	-0.000166424	-2.16048e-09	0
LR_10[cache_size=0.4,treshold=0.9]	0.000166401	-0.000166405	-6.65592e-05	-0.000166392
LR_11[cache_size=0.4,treshold=0.3]	0.00832023	-0.0004992	0.00279559	0.00216351
LR_11[cache_size=0.4,treshold=0.5]	0.00515842	-0.000166424	0.00186365	0.0004992
LR_11[cache_size=0.4,treshold=0.6]	0.00648963	-0.00332809	0.00178043	0.001664
LR_11[cache_size=0.4,treshold=0.7]	0.00565762	-0.00183066	0.000765402	-0.00099839
LR_11[cache_size=0.4,treshold=0.8]	0	-0.0001664	-6.65584e-05	0
LR_11[cache_size=0.4,treshold=0.9]	0	-0.000166392	-3.32784e-05	0
LR_12[cache_size=0.4,treshold=0.3]	0.00782102	-0.0013312	0.00252935	0.00216351
LR_12[cache_size=0.4,treshold=0.5]	0.00515842	-0.000166424	0.00189693	0.000665599
LR_12[cache_size=0.4,treshold=0.6]	0.00665603	-0.00316169	0.00183036	0.0013312
LR_12[cache_size=0.4,treshold=0.7]	0.00549122	-0.00232994	0.000632267	-0.000499214
LR_12[cache_size=0.4,treshold=0.8]	0	-0.0001664	-6.65584e-05	0
LR_12[cache_size=0.4,treshold=0.9]	0	-0.000166392	-3.32784e-05	0
LR_13[cache_size=0.4,treshold=0.3]	0.0063229	-0.0003328	0.00262909	0.00149761
LR_13[cache_size=0.4,treshold=0.5]	0.00482562	-0.002496	0.00159748	0.00116474
LR_13[cache_size=0.4,treshold=0.6]	0.00582402	-0.00199685	0.00206336	0.00166424
LR_13[cache_size=0.4,treshold=0.7]	0.00482562	-0.00282888	-0.000232996	-0.00149782
LR_13[cache_size=0.4,treshold=0.8]	0.000166401	-0.0001664	-3.32783e-05	0
LR_13[cache_size=0.4,treshold=0.9]	0.000166401	-0.000166392	1.71664e-09	0
LR_14[cache_size=0.4,treshold=0.3]	0.0063229	-0.0003328	0.00266237	0.00166401
LR_14[cache_size=0.4,treshold=0.5]	0.00482562	-0.0026624	0.0015642	0.00116474
LR_14[cache_size=0.4,treshold=0.6]	0.00599043	-0.00183045	0.0021632	0.00166424
LR_14[cache_size=0.4,treshold=0.7]	0.00499202	-0.00249607	-3.33202e-05	-0.00166424
LR_14[cache_size=0.4,treshold=0.8]	0.000166401	0	3.32801e-05	0
LR_14[cache_size=0.4,treshold=0.9]	0.000166401	-0.000166392	1.71664e-09	0
LR_15[cache_size=0.4,treshold=0.3]	0.00665568	-0.0004992	0.0027955	0.00166401
LR_15[cache_size=0.4,treshold=0.5]	0.00482562	-0.002496	0.00163076	0.00133114
LR_15[cache_size=0.4,treshold=0.6]	0.00582402	-0.00183045	0.00203009	0.00183066
LR_15[cache_size=0.4,treshold=0.7]	0.00449282	-0.00232966	-2.05505e-08	-0.000998544
LR_15[cache_size=0.4,treshold=0.8]	0.000166401	-0.000166392	1.71664e-09	0
LR_15[cache_size=0.4,treshold=0.9]	0.000166401	-0.000166392	1.71664e-09	0
LR_1[cache_size=0.4,treshold=0.5]	0.00648963	-0.00316169	0.00199672	0.000831999
LR_1_log[cache_size=0.4,treshold=0.5]	0.00482562	-0.0044928	0.00116485	0.00083212
LR_1_mean[cache_size=0.4,treshold=0.5]	0.00549122	-0.0038272	0.00229641	0.00282921
LR_1_robust_scaler[cache_size=0.4,treshold=0.5]	0.00632323	-0.00299528	0.00203001	0.000831999
LR_1_std_scaler[cache_size=0.4,treshold=0.5]	0.00632323	-0.00316169	0.00199673	0.000831999
LR_2[cache_size=0.4,treshold=0.5]	0.00698883	-0.0034945	0.00196344	0.0003328
LR_2_log[cache_size=0.4,treshold=0.5]	0.00482562	-0.0043264	0.00126468	0.000665696
LR_2_mean[cache_size=0.4,treshold=0.5]	0.00515842	-0.0044928	0.00149765	0.00116474
LR_3[cache_size=0.4,treshold=0.5]	0.00698883	-0.00332809	0.00199672	0.0003328
LR_3_log[cache_size=0.4,treshold=0.5]	0.00482562	-0.00416	0.00133125	0.00083212
LR_3_mean[cache_size=0.4,treshold=0.5]	0.00532482	-0.00416	0.00156421	0.000998353
LR_4[cache_size=0.4,treshold=0.5]	0.00449282	-0.000665618	0.00236287	0.0026624
LR_4_log[cache_size=0.4,treshold=0.5]	0.00515842	-0.0023296	0.00176393	0.00232994
LR_4_mean[cache_size=0.4,treshold=0.5]	0.00482562	-0.0028288	0.00176391	0.00166424
LR_4_robust_scaler[cache_size=0.4,treshold=0.5]	0.00465922	-0.000832023	0.00236287	0.0026624
LR_4_std_scaler[cache_size=0.4,treshold=0.5]	0.00465922	-0.000832023	0.00232959	0.002496
LR_5[cache_size=0.4,treshold=0.5]	0.00465922	-0.000832023	0.00236287	0.0026624
LR_5_imba[cache_size=0.4,treshold=0.5]	0.00648978	-0.002496	0.00356109	0.00432702
LR_6[cache_size=0.4,treshold=0.5]	0.00465922	-0.000832023	0.00236287	0.0026624
LR_6_imba[cache_size=0.4,treshold=0.5]	0.00648978	-0.0021632	0.00366093	0.00432702
LR_7[cache_size=0.4,treshold=0.3]	0.00815321	-0.00116497	0.00292857	0.000665599
LR_7[cache_size=0.4,treshold=0.5]	0.00482562	-0.0031616	0.00183046	0.00149782
LR_7[cache_size=0.4,treshold=0.6]	0.00615683	-0.00183045	0.00222974	0.00133139
LR_7[cache_size=0.4,treshold=0.7]	0.0004992	-0.000332809	6.65599e-05	0
LR_7[cache_size=0.4,treshold=0.8]	0.000332801	-0.000166405	9.41326e-10	0
LR_7[cache_size=0.4,treshold=0.9]	0.000332801	-0.000166405	3.32809e-05	0
LR_8[cache_size=0.4,treshold=0.3]	0.00865239	-0.00133139	0.00309496	0.00149761
LR_8[cache_size=0.4,treshold=0.5]	0.00499214	-0.003328	0.00186373	0.00166392
LR_8[cache_size=0.4,treshold=0.6]	0.00615683	-0.00149764	0.00246271	0.00149782
LR_8[cache_size=0.4,treshold=0.7]	0.0003328	-0.000166405	6.09054e-10	0
LR_8[cache_size=0.4,treshold=0.8]	0	0	0	0
LR_8[cache_size=0.4,treshold=0.9]	0	0	0	0
LR_9[cache_size=0.4,treshold=0.3]	0.00865239	-0.00133139	0.00306168	0.0011648
LR_9[cache_size=0.4,treshold=0.5]	0.00515854	-0.003328	0.00183044	0.00166392
LR_9[cache_size=0.4,treshold=0.6]	0.00615683	-0.00166405	0.00242942	0.00116497
LR_9[cache_size=0.4,treshold=0.7]	0.0003328	-0.000166424	-3.32842e-05	-0.000166392
LR_9[cache_size=0.4,treshold=0.8]	0	0	0	0
LR_9[cache_size=0.4,treshold=0.9]	0	0	0	0
Offline Clock 1st iteration	0	0	0	0
Offline Clock 2nd iteration	9.81851	0.0001001	2.73143	0.859981
Zipf Optimal Distribution	0.00682239	-0.00499176	0.000561115	0.000101012

Model Summaries Plot

Miss Ratio Reduced (%)

Promotion Reduced (%)

Promotion vs Miss Ratio

Cache Size All

Cache Size 0.001

Cache Size 0.01

Cache Size 0.1

Cache Size 0.2

Cache Size 0.4

Model Classification Report

LR_10_0.001

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.76      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9369647659656092

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.76      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9369647659656092

LR_10_0.01

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.63   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.947614194606559

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.63   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.947614194606559

LR_10_0.1

              precision    recall  f1-score   support

           0       0.41      0.57      0.48   8019514
           1       0.91      0.85      0.88  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.68  50929872
weighted avg       0.83      0.80      0.81  50929872

Accuracy: 0.8026812240957527

              precision    recall  f1-score   support

           0       0.41      0.57      0.48   8019514
           1       0.91      0.85      0.88  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.68  50929872
weighted avg       0.83      0.80      0.81  50929872

Accuracy: 0.8026812240957527

LR_10_0.2

              precision    recall  f1-score   support

           0       0.55      0.59      0.57  25620627
           1       0.85      0.83      0.84  73187446

    accuracy                           0.77  98808073
   macro avg       0.70      0.71      0.70  98808073
weighted avg       0.77      0.77      0.77  98808073

Accuracy: 0.7659223351112211

              precision    recall  f1-score   support

           0       0.55      0.59      0.57  25620627
           1       0.85      0.83      0.84  73187446

    accuracy                           0.77  98808073
   macro avg       0.70      0.71      0.70  98808073
weighted avg       0.77      0.77      0.77  98808073

Accuracy: 0.7659223351112211

LR_10_0.4

              precision    recall  f1-score   support

           0       0.62      0.68      0.65  66028440
           1       0.78      0.73      0.75 103663142

    accuracy                           0.71 169691582
   macro avg       0.70      0.71      0.70 169691582
weighted avg       0.72      0.71      0.71 169691582

Accuracy: 0.7110567924341704

              precision    recall  f1-score   support

           0       0.62      0.68      0.65  66028440
           1       0.78      0.73      0.75 103663142

    accuracy                           0.71 169691582
   macro avg       0.70      0.71      0.70 169691582
weighted avg       0.72      0.71      0.71 169691582

Accuracy: 0.7110567924341704

LR_10_All

              precision    recall  f1-score   support

           0       0.40      0.70      0.50  99768080
           1       0.80      0.53      0.64 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.61      0.57 324953889
weighted avg       0.67      0.58      0.60 324953889

Accuracy: 0.5798402800466254

              precision    recall  f1-score   support

           0       0.40      0.70      0.50  99768080
           1       0.80      0.53      0.64 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.61      0.57 324953889
weighted avg       0.67      0.58      0.60 324953889

Accuracy: 0.5798402800466254

LR_11_0.001

              precision    recall  f1-score   support

           0       0.01      0.66      0.01      1026
           1       1.00      0.75      0.86    499456

    accuracy                           0.75    500482
   macro avg       0.50      0.71      0.43    500482
weighted avg       1.00      0.75      0.86    500482

Accuracy: 0.752214864870265

              precision    recall  f1-score   support

           0       0.01      0.66      0.01      1026
           1       1.00      0.75      0.86    499456

    accuracy                           0.75    500482
   macro avg       0.50      0.71      0.43    500482
weighted avg       1.00      0.75      0.86    500482

Accuracy: 0.752214864870265

LR_11_0.01

              precision    recall  f1-score   support

           0       0.06      0.59      0.11     98473
           1       0.99      0.81      0.89   4925407

    accuracy                           0.81   5023880
   macro avg       0.53      0.70      0.50   5023880
weighted avg       0.97      0.81      0.88   5023880

Accuracy: 0.8104256072995374

              precision    recall  f1-score   support

           0       0.06      0.59      0.11     98473
           1       0.99      0.81      0.89   4925407

    accuracy                           0.81   5023880
   macro avg       0.53      0.70      0.50   5023880
weighted avg       0.97      0.81      0.88   5023880

Accuracy: 0.8104256072995374

LR_11_0.1

              precision    recall  f1-score   support

           0       0.41      0.57      0.47   8019514
           1       0.91      0.84      0.88  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.68  50929872
weighted avg       0.83      0.80      0.81  50929872

Accuracy: 0.8009982235965565

              precision    recall  f1-score   support

           0       0.41      0.57      0.47   8019514
           1       0.91      0.84      0.88  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.68  50929872
weighted avg       0.83      0.80      0.81  50929872

Accuracy: 0.8009982235965565

LR_11_0.2

              precision    recall  f1-score   support

           0       0.55      0.59      0.57  25620627
           1       0.85      0.83      0.84  73187446

    accuracy                           0.77  98808073
   macro avg       0.70      0.71      0.70  98808073
weighted avg       0.77      0.77      0.77  98808073

Accuracy: 0.767724131205352

              precision    recall  f1-score   support

           0       0.55      0.59      0.57  25620627
           1       0.85      0.83      0.84  73187446

    accuracy                           0.77  98808073
   macro avg       0.70      0.71      0.70  98808073
weighted avg       0.77      0.77      0.77  98808073

Accuracy: 0.767724131205352

LR_11_0.4

              precision    recall  f1-score   support

           0       0.62      0.68      0.65  66028440
           1       0.78      0.73      0.75 103663142

    accuracy                           0.71 169691582
   macro avg       0.70      0.71      0.70 169691582
weighted avg       0.72      0.71      0.71 169691582

Accuracy: 0.7109879911426602

              precision    recall  f1-score   support

           0       0.62      0.68      0.65  66028440
           1       0.78      0.73      0.75 103663142

    accuracy                           0.71 169691582
   macro avg       0.70      0.71      0.70 169691582
weighted avg       0.72      0.71      0.71 169691582

Accuracy: 0.7109998774128937

LR_11_All

              precision    recall  f1-score   support

           0       0.39      0.70      0.50  99768080
           1       0.80      0.53      0.63 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.61      0.57 324953889
weighted avg       0.67      0.58      0.59 324953889

Accuracy: 0.5788021666052441

              precision    recall  f1-score   support

           0       0.39      0.70      0.50  99768080
           1       0.80      0.53      0.63 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.61      0.57 324953889
weighted avg       0.67      0.58      0.59 324953889

Accuracy: 0.5788021666052441

LR_12_0.001

              precision    recall  f1-score   support

           0       0.01      0.61      0.02      1026
           1       1.00      0.85      0.92    499456

    accuracy                           0.85    500482
   macro avg       0.50      0.73      0.47    500482
weighted avg       1.00      0.85      0.92    500482

Accuracy: 0.8518348312227013

              precision    recall  f1-score   support

           0       0.01      0.61      0.02      1026
           1       1.00      0.85      0.92    499456

    accuracy                           0.85    500482
   macro avg       0.50      0.73      0.47    500482
weighted avg       1.00      0.85      0.92    500482

Accuracy: 0.8518348312227013

LR_12_0.01

              precision    recall  f1-score   support

           0       0.07      0.57      0.13     98473
           1       0.99      0.85      0.92   4925407

    accuracy                           0.85   5023880
   macro avg       0.53      0.71      0.52   5023880
weighted avg       0.97      0.85      0.90   5023880

Accuracy: 0.84876191310302

              precision    recall  f1-score   support

           0       0.07      0.57      0.13     98473
           1       0.99      0.85      0.92   4925407

    accuracy                           0.85   5023880
   macro avg       0.53      0.71      0.52   5023880
weighted avg       0.97      0.85      0.90   5023880

Accuracy: 0.84876191310302

LR_12_0.1

              precision    recall  f1-score   support

           0       0.41      0.57      0.48   8019514
           1       0.91      0.85      0.88  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.68  50929872
weighted avg       0.83      0.80      0.82  50929872

Accuracy: 0.8031211034655653

              precision    recall  f1-score   support

           0       0.41      0.57      0.48   8019514
           1       0.91      0.85      0.88  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.68  50929872
weighted avg       0.83      0.80      0.82  50929872

Accuracy: 0.8031211034655653

LR_12_0.2

              precision    recall  f1-score   support

           0       0.55      0.58      0.57  25620627
           1       0.85      0.83      0.84  73187446

    accuracy                           0.77  98808073
   macro avg       0.70      0.71      0.71  98808073
weighted avg       0.77      0.77      0.77  98808073

Accuracy: 0.7696034412086956

              precision    recall  f1-score   support

           0       0.55      0.58      0.57  25620627
           1       0.85      0.83      0.84  73187446

    accuracy                           0.77  98808073
   macro avg       0.70      0.71      0.71  98808073
weighted avg       0.77      0.77      0.77  98808073

Accuracy: 0.7696034412086956

LR_12_0.4

              precision    recall  f1-score   support

           0       0.62      0.68      0.65  66028440
           1       0.78      0.73      0.75 103663142

    accuracy                           0.71 169691582
   macro avg       0.70      0.71      0.70 169691582
weighted avg       0.72      0.71      0.71 169691582

Accuracy: 0.7110399618998189

              precision    recall  f1-score   support

           0       0.62      0.68      0.65  66028440
           1       0.78      0.73      0.75 103663142

    accuracy                           0.71 169691582
   macro avg       0.70      0.71      0.70 169691582
weighted avg       0.72      0.71      0.71 169691582

Accuracy: 0.7110399618998189

LR_12_All

              precision    recall  f1-score   support

           0       0.39      0.70      0.50  99768080
           1       0.80      0.53      0.63 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.61      0.57 324953889
weighted avg       0.67      0.58      0.59 324953889

Accuracy: 0.5785499215859515

              precision    recall  f1-score   support

           0       0.39      0.70      0.50  99768080
           1       0.80      0.53      0.63 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.61      0.57 324953889
weighted avg       0.67      0.58      0.59 324953889

Accuracy: 0.5785499215859515

LR_13_0.001

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.76      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9365531627511079

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.76      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9365531627511079

LR_13_0.01

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.63   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.9475303948342715

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.63   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.9475303948342715

LR_13_0.1

              precision    recall  f1-score   support

           0       0.42      0.56      0.48   8019514
           1       0.91      0.86      0.88  42910358

    accuracy                           0.81  50929872
   macro avg       0.67      0.71      0.68  50929872
weighted avg       0.84      0.81      0.82  50929872

Accuracy: 0.8108006829469353

              precision    recall  f1-score   support

           0       0.42      0.56      0.48   8019514
           1       0.91      0.86      0.88  42910358

    accuracy                           0.81  50929872
   macro avg       0.67      0.71      0.68  50929872
weighted avg       0.84      0.81      0.82  50929872

Accuracy: 0.8108006829469353

LR_13_0.2

              precision    recall  f1-score   support

           0       0.53      0.60      0.56  25620627
           1       0.85      0.81      0.83  73187446

    accuracy                           0.76  98808073
   macro avg       0.69      0.71      0.70  98808073
weighted avg       0.77      0.76      0.76  98808073

Accuracy: 0.7579026260334011

              precision    recall  f1-score   support

           0       0.53      0.60      0.56  25620627
           1       0.85      0.81      0.83  73187446

    accuracy                           0.76  98808073
   macro avg       0.69      0.71      0.70  98808073
weighted avg       0.77      0.76      0.76  98808073

Accuracy: 0.7579026260334011

LR_13_0.4

              precision    recall  f1-score   support

           0       0.65      0.65      0.65  66028440
           1       0.78      0.78      0.78 103663142

    accuracy                           0.73 169691582
   macro avg       0.71      0.71      0.71 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7285107696149594

              precision    recall  f1-score   support

           0       0.65      0.65      0.65  66028440
           1       0.78      0.78      0.78 103663142

    accuracy                           0.73 169691582
   macro avg       0.71      0.71      0.71 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7285107696149594

LR_13_All

              precision    recall  f1-score   support

           0       0.38      0.56      0.45  99768080
           1       0.75      0.60      0.67 225185809

    accuracy                           0.59 324953889
   macro avg       0.57      0.58      0.56 324953889
weighted avg       0.64      0.59      0.60 324953889

Accuracy: 0.5896379716815761

              precision    recall  f1-score   support

           0       0.38      0.56      0.45  99768080
           1       0.75      0.60      0.67 225185809

    accuracy                           0.59 324953889
   macro avg       0.57      0.58      0.56 324953889
weighted avg       0.64      0.59      0.60 324953889

Accuracy: 0.5896379716815761

LR_14_0.001

              precision    recall  f1-score   support

           0       0.01      0.66      0.01      1026
           1       1.00      0.75      0.86    499456

    accuracy                           0.75    500482
   macro avg       0.50      0.71      0.43    500482
weighted avg       1.00      0.75      0.86    500482

Accuracy: 0.752214864870265

              precision    recall  f1-score   support

           0       0.01      0.66      0.01      1026
           1       1.00      0.75      0.86    499456

    accuracy                           0.75    500482
   macro avg       0.50      0.71      0.43    500482
weighted avg       1.00      0.75      0.86    500482

Accuracy: 0.752214864870265

LR_14_0.01

              precision    recall  f1-score   support

           0       0.06      0.59      0.11     98473
           1       0.99      0.82      0.90   4925407

    accuracy                           0.82   5023880
   macro avg       0.53      0.71      0.51   5023880
weighted avg       0.97      0.82      0.88   5023880

Accuracy: 0.8189315827607347

              precision    recall  f1-score   support

           0       0.06      0.59      0.11     98473
           1       0.99      0.82      0.90   4925407

    accuracy                           0.82   5023880
   macro avg       0.53      0.71      0.51   5023880
weighted avg       0.97      0.82      0.88   5023880

Accuracy: 0.8189315827607347

LR_14_0.1

              precision    recall  f1-score   support

           0       0.40      0.57      0.47   8019514
           1       0.91      0.84      0.88  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.67  50929872
weighted avg       0.83      0.80      0.81  50929872

Accuracy: 0.7984757157842455

              precision    recall  f1-score   support

           0       0.40      0.57      0.47   8019514
           1       0.91      0.84      0.88  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.67  50929872
weighted avg       0.83      0.80      0.81  50929872

Accuracy: 0.7984757157842455

LR_14_0.2

              precision    recall  f1-score   support

           0       0.53      0.60      0.56  25620627
           1       0.85      0.81      0.83  73187446

    accuracy                           0.76  98808073
   macro avg       0.69      0.70      0.70  98808073
weighted avg       0.77      0.76      0.76  98808073

Accuracy: 0.7577006081274351

              precision    recall  f1-score   support

           0       0.53      0.60      0.56  25620627
           1       0.85      0.81      0.83  73187446

    accuracy                           0.76  98808073
   macro avg       0.69      0.70      0.70  98808073
weighted avg       0.77      0.76      0.76  98808073

Accuracy: 0.7577006081274351

LR_14_0.4

              precision    recall  f1-score   support

           0       0.65      0.65      0.65  66028440
           1       0.78      0.78      0.78 103663142

    accuracy                           0.73 169691582
   macro avg       0.71      0.71      0.71 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7285412602258609

              precision    recall  f1-score   support

           0       0.65      0.65      0.65  66028440
           1       0.78      0.78      0.78 103663142

    accuracy                           0.73 169691582
   macro avg       0.71      0.71      0.71 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7285412602258609

LR_14_All

              precision    recall  f1-score   support

           0       0.38      0.56      0.45  99768080
           1       0.75      0.60      0.67 225185809

    accuracy                           0.59 324953889
   macro avg       0.57      0.58      0.56 324953889
weighted avg       0.64      0.59      0.60 324953889

Accuracy: 0.5899010643937854

              precision    recall  f1-score   support

           0       0.38      0.56      0.45  99768080
           1       0.75      0.60      0.67 225185809

    accuracy                           0.59 324953889
   macro avg       0.57      0.58      0.56 324953889
weighted avg       0.64      0.59      0.60 324953889

Accuracy: 0.5899010643937854

LR_15_0.001

              precision    recall  f1-score   support

           0       0.01      0.61      0.02      1026
           1       1.00      0.85      0.92    499456

    accuracy                           0.85    500482
   macro avg       0.50      0.73      0.47    500482
weighted avg       1.00      0.85      0.92    500482

Accuracy: 0.8517648986377132

              precision    recall  f1-score   support

           0       0.01      0.61      0.02      1026
           1       1.00      0.85      0.92    499456

    accuracy                           0.85    500482
   macro avg       0.50      0.73      0.47    500482
weighted avg       1.00      0.85      0.92    500482

Accuracy: 0.8517648986377132

LR_15_0.01

              precision    recall  f1-score   support

           0       0.08      0.57      0.13     98473
           1       0.99      0.86      0.92   4925407

    accuracy                           0.86   5023880
   macro avg       0.53      0.72      0.53   5023880
weighted avg       0.97      0.86      0.91   5023880

Accuracy: 0.8553002858348527

              precision    recall  f1-score   support

           0       0.08      0.57      0.13     98473
           1       0.99      0.86      0.92   4925407

    accuracy                           0.86   5023880
   macro avg       0.53      0.72      0.53   5023880
weighted avg       0.97      0.86      0.91   5023880

Accuracy: 0.8553002858348527

LR_15_0.1

              precision    recall  f1-score   support

           0       0.40      0.57      0.47   8019514
           1       0.91      0.84      0.88  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.67  50929872
weighted avg       0.83      0.80      0.81  50929872

Accuracy: 0.7984756765145611

              precision    recall  f1-score   support

           0       0.40      0.57      0.47   8019514
           1       0.91      0.84      0.88  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.67  50929872
weighted avg       0.83      0.80      0.81  50929872

Accuracy: 0.7984756765145611

LR_15_0.2

              precision    recall  f1-score   support

           0       0.53      0.60      0.56  25620627
           1       0.85      0.81      0.83  73187446

    accuracy                           0.76  98808073
   macro avg       0.69      0.71      0.70  98808073
weighted avg       0.77      0.76      0.76  98808073

Accuracy: 0.7579156108023684

              precision    recall  f1-score   support

           0       0.53      0.60      0.56  25620627
           1       0.85      0.81      0.83  73187446

    accuracy                           0.76  98808073
   macro avg       0.69      0.71      0.70  98808073
weighted avg       0.77      0.76      0.76  98808073

Accuracy: 0.7579156108023684

LR_15_0.4

              precision    recall  f1-score   support

           0       0.65      0.65      0.65  66028440
           1       0.78      0.78      0.78 103663142

    accuracy                           0.73 169691582
   macro avg       0.71      0.71      0.71 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7285153249381575

              precision    recall  f1-score   support

           0       0.65      0.65      0.65  66028440
           1       0.78      0.78      0.78 103663142

    accuracy                           0.73 169691582
   macro avg       0.71      0.71      0.71 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7285153249381575

LR_15_All

              precision    recall  f1-score   support

           0       0.38      0.56      0.45  99768080
           1       0.75      0.61      0.67 225185809

    accuracy                           0.59 324953889
   macro avg       0.57      0.58      0.56 324953889
weighted avg       0.64      0.59      0.61 324953889

Accuracy: 0.5901402275570242

              precision    recall  f1-score   support

           0       0.38      0.56      0.45  99768080
           1       0.75      0.61      0.67 225185809

    accuracy                           0.59 324953889
   macro avg       0.57      0.58      0.56 324953889
weighted avg       0.64      0.59      0.61 324953889

Accuracy: 0.5901402275570242

LR_1_0.001

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.6262642812328915

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.6262642812328915

LR_1_0.01

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.631169932402844

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.631169932402844

LR_1_0.1

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.64      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6419880065671478

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.64      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6419880065671478

LR_1_0.2

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.74  73187446

    accuracy                           0.66  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.66      0.68  98808073

Accuracy: 0.6571487635428331

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.74  73187446

    accuracy                           0.66  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.66      0.68  98808073

Accuracy: 0.6571487635428331

LR_1_0.4

              precision    recall  f1-score   support

           0       0.59      0.72      0.65  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6925760053318378

              precision    recall  f1-score   support

           0       0.59      0.72      0.65  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6925760053318378

LR_1_All

              precision    recall  f1-score   support

           0       0.40      0.70      0.51  99768080
           1       0.80      0.53      0.64 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.62      0.57 324953889
weighted avg       0.68      0.58      0.60 324953889

Accuracy: 0.5826247212569904

              precision    recall  f1-score   support

           0       0.40      0.70      0.51  99768080
           1       0.80      0.53      0.64 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.62      0.57 324953889
weighted avg       0.68      0.58      0.60 324953889

Accuracy: 0.5826247212569904

LR_1_log_0.001

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.76      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9369108179714755

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.76      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9369108179714755

LR_1_log_0.01

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.63   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.947614194606559

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.63   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.947614194606559

LR_1_log_0.1

              precision    recall  f1-score   support

           0       0.38      0.58      0.46   8019514
           1       0.91      0.83      0.87  42910358

    accuracy                           0.79  50929872
   macro avg       0.65      0.70      0.66  50929872
weighted avg       0.83      0.79      0.80  50929872

Accuracy: 0.7870163702747967

              precision    recall  f1-score   support

           0       0.38      0.58      0.46   8019514
           1       0.91      0.83      0.87  42910358

    accuracy                           0.79  50929872
   macro avg       0.65      0.70      0.66  50929872
weighted avg       0.83      0.79      0.80  50929872

Accuracy: 0.7870163702747967

LR_1_log_0.2

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.7429965565667899

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.7429965565667899

LR_1_log_0.4

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.73 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7347461997260418

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.73 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7347461997260418

LR_1_log_All

              precision    recall  f1-score   support

           0       0.44      0.57      0.50  99768080
           1       0.78      0.68      0.73 225185809

    accuracy                           0.65 324953889
   macro avg       0.61      0.62      0.61 324953889
weighted avg       0.68      0.65      0.66 324953889

Accuracy: 0.6456504264209622

              precision    recall  f1-score   support

           0       0.44      0.57      0.50  99768080
           1       0.78      0.68      0.73 225185809

    accuracy                           0.65 324953889
   macro avg       0.61      0.62      0.61 324953889
weighted avg       0.68      0.65      0.66 324953889

Accuracy: 0.6456504264209622

LR_1_mean_0.001

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.76      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9369747563348931

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.76      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9369747563348931

LR_1_mean_0.01

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.63   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.9476440520076116

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.63   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.9476440520076116

LR_1_mean_0.1

              precision    recall  f1-score   support

           0       0.38      0.58      0.46   8019514
           1       0.91      0.83      0.87  42910358

    accuracy                           0.79  50929872
   macro avg       0.65      0.70      0.66  50929872
weighted avg       0.83      0.79      0.80  50929872

Accuracy: 0.7869054137815229

              precision    recall  f1-score   support

           0       0.38      0.58      0.46   8019514
           1       0.91      0.83      0.87  42910358

    accuracy                           0.79  50929872
   macro avg       0.65      0.70      0.66  50929872
weighted avg       0.83      0.79      0.80  50929872

Accuracy: 0.7869054137815229

LR_1_mean_0.2

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.7427428627213487

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.7427428627213487

LR_1_mean_0.4

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.74 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.74      0.73 169691582

Accuracy: 0.7360563531077222

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.74 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.74      0.73 169691582

Accuracy: 0.7360563531077222

LR_1_mean_All

              precision    recall  f1-score   support

           0       0.39      0.52      0.45  99768080
           1       0.75      0.65      0.70 225185809

    accuracy                           0.61 324953889
   macro avg       0.57      0.58      0.57 324953889
weighted avg       0.64      0.61      0.62 324953889

Accuracy: 0.60738761615498

              precision    recall  f1-score   support

           0       0.39      0.52      0.45  99768080
           1       0.75      0.65      0.70 225185809

    accuracy                           0.61 324953889
   macro avg       0.57      0.58      0.57 324953889
weighted avg       0.64      0.61      0.62 324953889

Accuracy: 0.60738761615498

LR_1_robust_scaler_0.001

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.6262522927897507

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.6262522927897507

LR_1_robust_scaler_0.01

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6313144422239385

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6313144422239385

LR_1_robust_scaler_0.1

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.64      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6419735160536041

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.64      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6419735160536041

LR_1_robust_scaler_0.2

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.74  73187446

    accuracy                           0.66  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.66      0.68  98808073

Accuracy: 0.657163428336468

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.74  73187446

    accuracy                           0.66  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.66      0.68  98808073

Accuracy: 0.657163428336468

LR_1_robust_scaler_0.4

              precision    recall  f1-score   support

           0       0.59      0.72      0.65  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6925738956219997

              precision    recall  f1-score   support

           0       0.59      0.72      0.65  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6925738956219997

LR_1_robust_scaler_All

              precision    recall  f1-score   support

           0       0.40      0.70      0.51  99768080
           1       0.80      0.53      0.64 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.62      0.57 324953889
weighted avg       0.68      0.58      0.60 324953889

Accuracy: 0.5826195636021454

              precision    recall  f1-score   support

           0       0.40      0.70      0.51  99768080
           1       0.80      0.53      0.64 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.62      0.57 324953889
weighted avg       0.68      0.58      0.60 324953889

Accuracy: 0.5826195636021454

LR_1_std_scaler_0.001

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.626330217670166

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.626330217670166

LR_1_std_scaler_0.01

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6314165545355382

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6314165545355382

LR_1_std_scaler_0.1

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.64      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.64190860326529

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.64      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.64190860326529

LR_1_std_scaler_0.2

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.74  73187446

    accuracy                           0.66  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.66      0.68  98808073

Accuracy: 0.6571269738253067

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.74  73187446

    accuracy                           0.66  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.66      0.68  98808073

Accuracy: 0.6571269738253067

LR_1_std_scaler_0.4

              precision    recall  f1-score   support

           0       0.59      0.72      0.65  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6925725048635589

              precision    recall  f1-score   support

           0       0.59      0.72      0.65  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6925725048635589

LR_1_std_scaler_All

              precision    recall  f1-score   support

           0       0.40      0.70      0.51  99768080
           1       0.80      0.53      0.64 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.62      0.57 324953889
weighted avg       0.68      0.58      0.60 324953889

Accuracy: 0.5826236318716592

              precision    recall  f1-score   support

           0       0.40      0.70      0.51  99768080
           1       0.80      0.53      0.64 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.62      0.57 324953889
weighted avg       0.68      0.58      0.60 324953889

Accuracy: 0.5826236318716592

LR_2_0.001

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.6272553258658653

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.6272553258658653

LR_2_0.01

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.631165951416037

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.631165951416037

LR_2_0.1

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.64      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6419731822612866

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.64      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6419731822612866

LR_2_0.2

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.74  73187446

    accuracy                           0.66  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.66      0.68  98808073

Accuracy: 0.657124140048759

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.74  73187446

    accuracy                           0.66  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.66      0.68  98808073

Accuracy: 0.657124140048759

LR_2_0.4

              precision    recall  f1-score   support

           0       0.59      0.72      0.65  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6925379539451757

              precision    recall  f1-score   support

           0       0.59      0.72      0.65  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6925379539451757

LR_2_All

              precision    recall  f1-score   support

           0       0.40      0.70      0.51  99768080
           1       0.80      0.53      0.64 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.61      0.57 324953889
weighted avg       0.68      0.58      0.60 324953889

Accuracy: 0.5821473396799384

              precision    recall  f1-score   support

           0       0.40      0.70      0.51  99768080
           1       0.80      0.53      0.64 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.61      0.57 324953889
weighted avg       0.68      0.58      0.60 324953889

Accuracy: 0.5821473396799384

LR_2_log_0.001

              precision    recall  f1-score   support

           0       0.01      0.62      0.02      1026
           1       1.00      0.85      0.92    499456

    accuracy                           0.85    500482
   macro avg       0.50      0.73      0.47    500482
weighted avg       1.00      0.85      0.92    500482

Accuracy: 0.8512973493552216

              precision    recall  f1-score   support

           0       0.01      0.62      0.02      1026
           1       1.00      0.85      0.92    499456

    accuracy                           0.85    500482
   macro avg       0.50      0.73      0.47    500482
weighted avg       1.00      0.85      0.92    500482

Accuracy: 0.8512973493552216

LR_2_log_0.01

              precision    recall  f1-score   support

           0       0.07      0.58      0.13     98473
           1       0.99      0.85      0.91   4925407

    accuracy                           0.84   5023880
   macro avg       0.53      0.71      0.52   5023880
weighted avg       0.97      0.84      0.90   5023880

Accuracy: 0.8419739324983877

              precision    recall  f1-score   support

           0       0.07      0.58      0.13     98473
           1       0.99      0.85      0.91   4925407

    accuracy                           0.84   5023880
   macro avg       0.53      0.71      0.52   5023880
weighted avg       0.97      0.84      0.90   5023880

Accuracy: 0.8419739324983877

LR_2_log_0.1

              precision    recall  f1-score   support

           0       0.35      0.60      0.44   8019514
           1       0.91      0.79      0.85  42910358

    accuracy                           0.76  50929872
   macro avg       0.63      0.69      0.64  50929872
weighted avg       0.82      0.76      0.78  50929872

Accuracy: 0.7617663951717766

              precision    recall  f1-score   support

           0       0.35      0.60      0.44   8019514
           1       0.91      0.79      0.85  42910358

    accuracy                           0.76  50929872
   macro avg       0.63      0.69      0.64  50929872
weighted avg       0.82      0.76      0.78  50929872

Accuracy: 0.7617663951717766

LR_2_log_0.2

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.7436901233768621

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.7436901233768621

LR_2_log_0.4

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.73 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7348725701667393

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.73 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7348725701667393

LR_2_log_All

              precision    recall  f1-score   support

           0       0.44      0.56      0.50  99768080
           1       0.78      0.68      0.73 225185809

    accuracy                           0.65 324953889
   macro avg       0.61      0.62      0.61 324953889
weighted avg       0.68      0.65      0.66 324953889

Accuracy: 0.6468137914791966

              precision    recall  f1-score   support

           0       0.44      0.56      0.50  99768080
           1       0.78      0.68      0.73 225185809

    accuracy                           0.65 324953889
   macro avg       0.61      0.62      0.61 324953889
weighted avg       0.68      0.65      0.66 324953889

Accuracy: 0.6468137914791966

LR_2_mean_0.001

              precision    recall  f1-score   support

           0       0.01      0.62      0.02      1026
           1       1.00      0.85      0.92    499456

    accuracy                           0.85    500482
   macro avg       0.50      0.73      0.47    500482
weighted avg       1.00      0.85      0.92    500482

Accuracy: 0.8513592896447825

              precision    recall  f1-score   support

           0       0.01      0.62      0.02      1026
           1       1.00      0.85      0.92    499456

    accuracy                           0.85    500482
   macro avg       0.50      0.73      0.47    500482
weighted avg       1.00      0.85      0.92    500482

Accuracy: 0.8513592896447825

LR_2_mean_0.01

              precision    recall  f1-score   support

           0       0.07      0.58      0.13     98473
           1       0.99      0.85      0.91   4925407

    accuracy                           0.84   5023880
   macro avg       0.53      0.71      0.52   5023880
weighted avg       0.97      0.84      0.90   5023880

Accuracy: 0.8418714220881072

              precision    recall  f1-score   support

           0       0.07      0.58      0.13     98473
           1       0.99      0.85      0.91   4925407

    accuracy                           0.84   5023880
   macro avg       0.53      0.71      0.52   5023880
weighted avg       0.97      0.84      0.90   5023880

Accuracy: 0.8418714220881072

LR_2_mean_0.1

              precision    recall  f1-score   support

           0       0.35      0.60      0.44   8019514
           1       0.91      0.79      0.85  42910358

    accuracy                           0.76  50929872
   macro avg       0.63      0.69      0.64  50929872
weighted avg       0.82      0.76      0.78  50929872

Accuracy: 0.7616650990208654

              precision    recall  f1-score   support

           0       0.35      0.60      0.44   8019514
           1       0.91      0.79      0.85  42910358

    accuracy                           0.76  50929872
   macro avg       0.63      0.69      0.64  50929872
weighted avg       0.82      0.76      0.78  50929872

Accuracy: 0.7616650990208654

LR_2_mean_0.2

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.7437538833491875

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.7437538833491875

LR_2_mean_0.4

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.74 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.74      0.74 169691582

Accuracy: 0.736309158812604

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.74 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.74      0.74 169691582

Accuracy: 0.736309158812604

LR_2_mean_All

              precision    recall  f1-score   support

           0       0.39      0.51      0.44  99768080
           1       0.75      0.64      0.69 225185809

    accuracy                           0.60 324953889
   macro avg       0.57      0.58      0.57 324953889
weighted avg       0.64      0.60      0.61 324953889

Accuracy: 0.6025098964117952

              precision    recall  f1-score   support

           0       0.39      0.51      0.44  99768080
           1       0.75      0.64      0.69 225185809

    accuracy                           0.60 324953889
   macro avg       0.57      0.58      0.57 324953889
weighted avg       0.64      0.60      0.61 324953889

Accuracy: 0.6025098964117952

LR_3_0.001

              precision    recall  f1-score   support

           0       0.00      0.72      0.01      1026
           1       1.00      0.59      0.74    499456

    accuracy                           0.59    500482
   macro avg       0.50      0.66      0.37    500482
weighted avg       1.00      0.59      0.74    500482

Accuracy: 0.5874157312350894

              precision    recall  f1-score   support

           0       0.00      0.72      0.01      1026
           1       1.00      0.59      0.74    499456

    accuracy                           0.59    500482
   macro avg       0.50      0.66      0.37    500482
weighted avg       1.00      0.59      0.74    500482

Accuracy: 0.5874157312350894

LR_3_0.01

              precision    recall  f1-score   support

           0       0.04      0.68      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6324360852568135

              precision    recall  f1-score   support

           0       0.04      0.68      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6324360852568135

LR_3_0.1

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.64      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6420325187544159

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.64      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6420325187544159

LR_3_0.2

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.74  73187446

    accuracy                           0.66  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.66      0.68  98808073

Accuracy: 0.6570850744149216

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.74  73187446

    accuracy                           0.66  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.66      0.68  98808073

Accuracy: 0.6570850744149216

LR_3_0.4

              precision    recall  f1-score   support

           0       0.59      0.72      0.65  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6925212707369303

              precision    recall  f1-score   support

           0       0.59      0.72      0.65  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6925212707369303

LR_3_All

              precision    recall  f1-score   support

           0       0.40      0.70      0.51  99768080
           1       0.80      0.53      0.64 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.61      0.57 324953889
weighted avg       0.68      0.58      0.60 324953889

Accuracy: 0.5821352179601088

              precision    recall  f1-score   support

           0       0.40      0.70      0.51  99768080
           1       0.80      0.53      0.64 225185809

    accuracy                           0.58 324953889
   macro avg       0.60      0.61      0.57 324953889
weighted avg       0.68      0.58      0.60 324953889

Accuracy: 0.5821352179601088

LR_3_log_0.001

              precision    recall  f1-score   support

           0       0.01      0.66      0.01      1026
           1       1.00      0.75      0.86    499456

    accuracy                           0.75    500482
   macro avg       0.50      0.71      0.43    500482
weighted avg       1.00      0.75      0.86    500482

Accuracy: 0.752214864870265

              precision    recall  f1-score   support

           0       0.01      0.66      0.01      1026
           1       1.00      0.75      0.86    499456

    accuracy                           0.75    500482
   macro avg       0.50      0.71      0.43    500482
weighted avg       1.00      0.75      0.86    500482

Accuracy: 0.752214864870265

LR_3_log_0.01

              precision    recall  f1-score   support

           0       0.06      0.60      0.11     98473
           1       0.99      0.80      0.89   4925407

    accuracy                           0.80   5023880
   macro avg       0.52      0.70      0.50   5023880
weighted avg       0.97      0.80      0.87   5023880

Accuracy: 0.8002306981854662

              precision    recall  f1-score   support

           0       0.06      0.60      0.11     98473
           1       0.99      0.80      0.89   4925407

    accuracy                           0.80   5023880
   macro avg       0.52      0.70      0.50   5023880
weighted avg       0.97      0.80      0.87   5023880

Accuracy: 0.8002306981854662

LR_3_log_0.1

              precision    recall  f1-score   support

           0       0.35      0.60      0.44   8019514
           1       0.91      0.79      0.85  42910358

    accuracy                           0.76  50929872
   macro avg       0.63      0.69      0.64  50929872
weighted avg       0.82      0.76      0.78  50929872

Accuracy: 0.760560521338047

              precision    recall  f1-score   support

           0       0.35      0.60      0.44   8019514
           1       0.91      0.79      0.85  42910358

    accuracy                           0.76  50929872
   macro avg       0.63      0.69      0.64  50929872
weighted avg       0.82      0.76      0.78  50929872

Accuracy: 0.760560521338047

LR_3_log_0.2

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.743429911845361

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.743429911845361

LR_3_log_0.4

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.73 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7347876926505406

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.73 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7347876926505406

LR_3_log_All

              precision    recall  f1-score   support

           0       0.44      0.57      0.50  99768080
           1       0.78      0.68      0.73 225185809

    accuracy                           0.65 324953889
   macro avg       0.61      0.62      0.61 324953889
weighted avg       0.68      0.65      0.66 324953889

Accuracy: 0.6464200309970748

              precision    recall  f1-score   support

           0       0.44      0.57      0.50  99768080
           1       0.78      0.68      0.73 225185809

    accuracy                           0.65 324953889
   macro avg       0.61      0.62      0.61 324953889
weighted avg       0.68      0.65      0.66 324953889

Accuracy: 0.6464200309970748

LR_3_mean_0.001

              precision    recall  f1-score   support

           0       0.01      0.66      0.01      1026
           1       1.00      0.75      0.86    499456

    accuracy                           0.75    500482
   macro avg       0.50      0.71      0.43    500482
weighted avg       1.00      0.75      0.86    500482

Accuracy: 0.7521888899101267

              precision    recall  f1-score   support

           0       0.01      0.66      0.01      1026
           1       1.00      0.75      0.86    499456

    accuracy                           0.75    500482
   macro avg       0.50      0.71      0.43    500482
weighted avg       1.00      0.75      0.86    500482

Accuracy: 0.7521888899101267

LR_3_mean_0.01

              precision    recall  f1-score   support

           0       0.06      0.60      0.10     98473
           1       0.99      0.80      0.89   4925407

    accuracy                           0.80   5023880
   macro avg       0.52      0.70      0.50   5023880
weighted avg       0.97      0.80      0.87   5023880

Accuracy: 0.7988445185792654

              precision    recall  f1-score   support

           0       0.06      0.60      0.10     98473
           1       0.99      0.80      0.89   4925407

    accuracy                           0.80   5023880
   macro avg       0.52      0.70      0.50   5023880
weighted avg       0.97      0.80      0.87   5023880

Accuracy: 0.7988445185792654

LR_3_mean_0.1

              precision    recall  f1-score   support

           0       0.35      0.60      0.44   8019514
           1       0.91      0.79      0.85  42910358

    accuracy                           0.76  50929872
   macro avg       0.63      0.69      0.64  50929872
weighted avg       0.82      0.76      0.78  50929872

Accuracy: 0.7603852803714095

              precision    recall  f1-score   support

           0       0.35      0.60      0.44   8019514
           1       0.91      0.79      0.85  42910358

    accuracy                           0.76  50929872
   macro avg       0.63      0.69      0.64  50929872
weighted avg       0.82      0.76      0.78  50929872

Accuracy: 0.7603852803714095

LR_3_mean_0.2

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.7433628626681141

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.7433628626681141

LR_3_mean_0.4

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.74 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.74      0.74 169691582

Accuracy: 0.7362080047082123

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.74 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.74      0.74 169691582

Accuracy: 0.7362080047082123

LR_3_mean_All

              precision    recall  f1-score   support

           0       0.39      0.51      0.44  99768080
           1       0.75      0.64      0.69 225185809

    accuracy                           0.60 324953889
   macro avg       0.57      0.58      0.57 324953889
weighted avg       0.64      0.60      0.61 324953889

Accuracy: 0.6018183336774898

              precision    recall  f1-score   support

           0       0.39      0.51      0.44  99768080
           1       0.75      0.64      0.69 225185809

    accuracy                           0.60 324953889
   macro avg       0.57      0.58      0.57 324953889
weighted avg       0.64      0.60      0.61 324953889

Accuracy: 0.6018183336774898

LR_4_0.001

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.6261164237674881

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.6261164237674881

LR_4_0.01

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6311675438107598

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6311675438107598

LR_4_0.1

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.63      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6413143351312566

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.63      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6413143351312566

LR_4_0.2

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.73  73187446

    accuracy                           0.65  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.65      0.68  98808073

Accuracy: 0.654479912790122

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.73  73187446

    accuracy                           0.65  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.65      0.68  98808073

Accuracy: 0.654479912790122

LR_4_0.4

              precision    recall  f1-score   support

           0       0.59      0.71      0.64  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6928726022484721

              precision    recall  f1-score   support

           0       0.59      0.71      0.64  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6928726022484721

LR_4_All

              precision    recall  f1-score   support

           0       0.48      0.65      0.55  99768080
           1       0.82      0.68      0.74 225185809

    accuracy                           0.67 324953889
   macro avg       0.65      0.67      0.65 324953889
weighted avg       0.71      0.67      0.69 324953889

Accuracy: 0.6742106508532969

              precision    recall  f1-score   support

           0       0.48      0.65      0.55  99768080
           1       0.82      0.68      0.74 225185809

    accuracy                           0.67 324953889
   macro avg       0.65      0.67      0.65 324953889
weighted avg       0.71      0.67      0.69 324953889

Accuracy: 0.6742106508532969

LR_4_log_0.001

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.76      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9368828449374803

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.76      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9368828449374803

LR_4_log_0.01

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.62   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.9466394499868628

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.62   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.9466394499868628

LR_4_log_0.1

              precision    recall  f1-score   support

           0       0.40      0.57      0.47   8019514
           1       0.91      0.84      0.87  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.67  50929872
weighted avg       0.83      0.80      0.81  50929872

Accuracy: 0.7956631031784255

              precision    recall  f1-score   support

           0       0.40      0.57      0.47   8019514
           1       0.91      0.84      0.87  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.67  50929872
weighted avg       0.83      0.80      0.81  50929872

Accuracy: 0.7956631031784255

LR_4_log_0.2

              precision    recall  f1-score   support

           0       0.51      0.60      0.56  25620627
           1       0.85      0.80      0.83  73187446

    accuracy                           0.75  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.75      0.76  98808073

Accuracy: 0.7493842836101055

              precision    recall  f1-score   support

           0       0.51      0.60      0.56  25620627
           1       0.85      0.80      0.83  73187446

    accuracy                           0.75  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.75      0.76  98808073

Accuracy: 0.7493842836101055

LR_4_log_0.4

              precision    recall  f1-score   support

           0       0.65      0.65      0.65  66028440
           1       0.78      0.78      0.78 103663142

    accuracy                           0.73 169691582
   macro avg       0.71      0.71      0.71 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7281720610041811

              precision    recall  f1-score   support

           0       0.65      0.65      0.65  66028440
           1       0.78      0.78      0.78 103663142

    accuracy                           0.73 169691582
   macro avg       0.71      0.71      0.71 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7281720610041811

LR_4_log_All

              precision    recall  f1-score   support

           0       0.46      0.68      0.55  99768080
           1       0.82      0.64      0.72 225185809

    accuracy                           0.65 324953889
   macro avg       0.64      0.66      0.63 324953889
weighted avg       0.71      0.65      0.67 324953889

Accuracy: 0.6533813140485295

              precision    recall  f1-score   support

           0       0.46      0.68      0.55  99768080
           1       0.82      0.64      0.72 225185809

    accuracy                           0.65 324953889
   macro avg       0.64      0.66      0.63 324953889
weighted avg       0.71      0.65      0.67 324953889

Accuracy: 0.6533813140485295

LR_4_mean_0.001

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.75      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9369787524826068

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.75      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9369787524826068

LR_4_mean_0.01

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.62   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.9466388528388416

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.62   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.9466388528388416

LR_4_mean_0.1

              precision    recall  f1-score   support

           0       0.40      0.57      0.47   8019514
           1       0.91      0.84      0.87  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.67  50929872
weighted avg       0.83      0.80      0.81  50929872

Accuracy: 0.7957758660771815

              precision    recall  f1-score   support

           0       0.40      0.57      0.47   8019514
           1       0.91      0.84      0.87  42910358

    accuracy                           0.80  50929872
   macro avg       0.66      0.71      0.67  50929872
weighted avg       0.83      0.80      0.81  50929872

Accuracy: 0.7957758660771815

LR_4_mean_0.2

              precision    recall  f1-score   support

           0       0.51      0.60      0.55  25620627
           1       0.85      0.80      0.83  73187446

    accuracy                           0.75  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.75      0.76  98808073

Accuracy: 0.7492843727455347

              precision    recall  f1-score   support

           0       0.51      0.60      0.55  25620627
           1       0.85      0.80      0.83  73187446

    accuracy                           0.75  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.75      0.76  98808073

Accuracy: 0.7492843727455347

LR_4_mean_0.4

              precision    recall  f1-score   support

           0       0.66      0.65      0.65  66028440
           1       0.78      0.79      0.78 103663142

    accuracy                           0.73 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7314344267236544

              precision    recall  f1-score   support

           0       0.66      0.65      0.65  66028440
           1       0.78      0.79      0.78 103663142

    accuracy                           0.73 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.73      0.73 169691582

Accuracy: 0.7314344267236544

LR_4_mean_All

              precision    recall  f1-score   support

           0       0.46      0.69      0.55  99768080
           1       0.82      0.65      0.73 225185809

    accuracy                           0.66 324953889
   macro avg       0.64      0.67      0.64 324953889
weighted avg       0.71      0.66      0.67 324953889

Accuracy: 0.6599687655992325

              precision    recall  f1-score   support

           0       0.46      0.69      0.55  99768080
           1       0.82      0.65      0.73 225185809

    accuracy                           0.66 324953889
   macro avg       0.64      0.67      0.64 324953889
weighted avg       0.71      0.66      0.67 324953889

Accuracy: 0.6599687655992325

LR_4_robust_scaler_0.001

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.626168373687765

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.626168373687765

LR_4_robust_scaler_0.01

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6313739579767033

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6313739579767033

LR_4_robust_scaler_0.1

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.63      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6413206968201295

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.63      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6413206968201295

LR_4_robust_scaler_0.2

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.73  73187446

    accuracy                           0.65  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.65      0.68  98808073

Accuracy: 0.6545591775684159

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.73  73187446

    accuracy                           0.65  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.65      0.68  98808073

Accuracy: 0.6545591775684159

LR_4_robust_scaler_0.4

              precision    recall  f1-score   support

           0       0.59      0.71      0.64  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6928880007730731

              precision    recall  f1-score   support

           0       0.59      0.71      0.64  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6928880007730731

LR_4_robust_scaler_All

              precision    recall  f1-score   support

           0       0.50      0.63      0.56  99768080
           1       0.81      0.72      0.76 225185809

    accuracy                           0.69 324953889
   macro avg       0.66      0.67      0.66 324953889
weighted avg       0.72      0.69      0.70 324953889

Accuracy: 0.6909677268087719

              precision    recall  f1-score   support

           0       0.50      0.63      0.56  99768080
           1       0.81      0.72      0.76 225185809

    accuracy                           0.69 324953889
   macro avg       0.66      0.67      0.66 324953889
weighted avg       0.72      0.69      0.70 324953889

Accuracy: 0.6909677268087719

LR_4_std_scaler_0.001

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.6261903525001898

              precision    recall  f1-score   support

           0       0.00      0.71      0.01      1026
           1       1.00      0.63      0.77    499456

    accuracy                           0.63    500482
   macro avg       0.50      0.67      0.39    500482
weighted avg       1.00      0.63      0.77    500482

Accuracy: 0.6261903525001898

LR_4_std_scaler_0.01

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.631355645437391

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.631355645437391

LR_4_std_scaler_0.1

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.63      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6413164164245297

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.63      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6413164164245297

LR_4_std_scaler_0.2

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.73  73187446

    accuracy                           0.65  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.65      0.68  98808073

Accuracy: 0.6545269636014458

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.73  73187446

    accuracy                           0.65  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.65      0.68  98808073

Accuracy: 0.6545269636014458

LR_4_std_scaler_0.4

              precision    recall  f1-score   support

           0       0.59      0.71      0.64  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.692828039047924

              precision    recall  f1-score   support

           0       0.59      0.71      0.64  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.692828039047924

LR_4_std_scaler_All

              precision    recall  f1-score   support

           0       0.50      0.63      0.56  99768080
           1       0.81      0.72      0.76 225185809

    accuracy                           0.69 324953889
   macro avg       0.66      0.67      0.66 324953889
weighted avg       0.72      0.69      0.70 324953889

Accuracy: 0.6909617598083277

              precision    recall  f1-score   support

           0       0.50      0.63      0.56  99768080
           1       0.81      0.72      0.76 225185809

    accuracy                           0.69 324953889
   macro avg       0.66      0.67      0.66 324953889
weighted avg       0.72      0.69      0.70 324953889

Accuracy: 0.6909617598083277

LR_5_0.001

              precision    recall  f1-score   support

           0       0.00      0.72      0.01      1026
           1       1.00      0.59      0.74    499456

    accuracy                           0.59    500482
   macro avg       0.50      0.66      0.37    500482
weighted avg       1.00      0.59      0.74    500482

Accuracy: 0.5874337138998006

              precision    recall  f1-score   support

           0       0.00      0.72      0.01      1026
           1       1.00      0.59      0.74    499456

    accuracy                           0.59    500482
   macro avg       0.50      0.66      0.37    500482
weighted avg       1.00      0.59      0.74    500482

Accuracy: 0.5874337138998006

LR_5_0.01

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6316301344777343

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6316301344777343

LR_5_0.1

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.63      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.641262027911635

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.63      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.641262027911635

LR_5_0.2

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.73  73187446

    accuracy                           0.65  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.65      0.68  98808073

Accuracy: 0.6545023805898937

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.73  73187446

    accuracy                           0.65  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.65      0.68  98808073

Accuracy: 0.6545023805898937

LR_5_0.4

              precision    recall  f1-score   support

           0       0.59      0.71      0.64  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6928688955236447

              precision    recall  f1-score   support

           0       0.59      0.71      0.64  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.6928688955236447

LR_5_All

              precision    recall  f1-score   support

           0       0.50      0.63      0.56  99768080
           1       0.81      0.72      0.76 225185809

    accuracy                           0.69 324953889
   macro avg       0.66      0.67      0.66 324953889
weighted avg       0.72      0.69      0.70 324953889

Accuracy: 0.6910263597429973

              precision    recall  f1-score   support

           0       0.50      0.63      0.56  99768080
           1       0.81      0.72      0.76 225185809

    accuracy                           0.69 324953889
   macro avg       0.66      0.67      0.66 324953889
weighted avg       0.72      0.69      0.70 324953889

Accuracy: 0.6910263597429973

LR_5_imba_0.001

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      1026
           1       1.00      1.00      1.00    499456

    accuracy                           1.00    500482
   macro avg       0.50      0.50      0.50    500482
weighted avg       1.00      1.00      1.00    500482

Accuracy: 0.9979499762229211

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      1026
           1       1.00      1.00      1.00    499456

    accuracy                           1.00    500482
   macro avg       0.50      0.50      0.50    500482
weighted avg       1.00      1.00      1.00    500482

Accuracy: 0.9979499762229211

LR_5_imba_0.01

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     98473
           1       0.98      1.00      0.99   4925407

    accuracy                           0.98   5023880
   macro avg       0.49      0.50      0.50   5023880
weighted avg       0.96      0.98      0.97   5023880

Accuracy: 0.9803990143076666

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     98473
           1       0.98      1.00      0.99   4925407

    accuracy                           0.98   5023880
   macro avg       0.49      0.50      0.50   5023880
weighted avg       0.96      0.98      0.97   5023880

Accuracy: 0.9803990143076666

LR_5_imba_0.1

              precision    recall  f1-score   support

           0       1.00      0.00      0.00   8019514
           1       0.84      1.00      0.91  42910358

    accuracy                           0.84  50929872
   macro avg       0.92      0.50      0.46  50929872
weighted avg       0.87      0.84      0.77  50929872

Accuracy: 0.842538304435558

              precision    recall  f1-score   support

           0       1.00      0.00      0.00   8019514
           1       0.84      1.00      0.91  42910358

    accuracy                           0.84  50929872
   macro avg       0.92      0.50      0.46  50929872
weighted avg       0.87      0.84      0.77  50929872

Accuracy: 0.842538304435558

LR_5_imba_0.2

              precision    recall  f1-score   support

           0       0.91      0.42      0.58  25620627
           1       0.83      0.99      0.90  73187446

    accuracy                           0.84  98808073
   macro avg       0.87      0.70      0.74  98808073
weighted avg       0.85      0.84      0.82  98808073

Accuracy: 0.8393895203279594

              precision    recall  f1-score   support

           0       0.91      0.42      0.58  25620627
           1       0.83      0.99      0.90  73187446

    accuracy                           0.84  98808073
   macro avg       0.87      0.70      0.74  98808073
weighted avg       0.85      0.84      0.82  98808073

Accuracy: 0.8393895203279594

LR_5_imba_0.4

              precision    recall  f1-score   support

           0       0.69      0.61      0.65  66028440
           1       0.77      0.83      0.80 103663142

    accuracy                           0.74 169691582
   macro avg       0.73      0.72      0.72 169691582
weighted avg       0.74      0.74      0.74 169691582

Accuracy: 0.7443111114374548

              precision    recall  f1-score   support

           0       0.69      0.61      0.65  66028440
           1       0.77      0.83      0.80 103663142

    accuracy                           0.74 169691582
   macro avg       0.73      0.72      0.72 169691582
weighted avg       0.74      0.74      0.74 169691582

Accuracy: 0.7443111114374548

LR_5_imba_All

              precision    recall  f1-score   support

           0       0.73      0.34      0.47  99768080
           1       0.76      0.95      0.85 225185809

    accuracy                           0.76 324953889
   macro avg       0.75      0.64      0.66 324953889
weighted avg       0.76      0.76      0.73 324953889

Accuracy: 0.7600015705612928

              precision    recall  f1-score   support

           0       0.73      0.34      0.47  99768080
           1       0.76      0.95      0.85 225185809

    accuracy                           0.76 324953889
   macro avg       0.75      0.64      0.66 324953889
weighted avg       0.76      0.76      0.73 324953889

Accuracy: 0.7600015705612928

LR_6_0.001

              precision    recall  f1-score   support

           0       0.00      0.72      0.01      1026
           1       1.00      0.59      0.74    499456

    accuracy                           0.59    500482
   macro avg       0.50      0.66      0.37    500482
weighted avg       1.00      0.59      0.74    500482

Accuracy: 0.5874357119736574

              precision    recall  f1-score   support

           0       0.00      0.72      0.01      1026
           1       1.00      0.59      0.74    499456

    accuracy                           0.59    500482
   macro avg       0.50      0.66      0.37    500482
weighted avg       1.00      0.59      0.74    500482

Accuracy: 0.5874357119736574

LR_6_0.01

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6318892967188706

              precision    recall  f1-score   support

           0       0.04      0.69      0.07     98473
           1       0.99      0.63      0.77   4925407

    accuracy                           0.63   5023880
   macro avg       0.51      0.66      0.42   5023880
weighted avg       0.97      0.63      0.76   5023880

Accuracy: 0.6318892967188706

LR_6_0.1

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.63      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6413257626094171

              precision    recall  f1-score   support

           0       0.26      0.68      0.37   8019514
           1       0.91      0.63      0.75  42910358

    accuracy                           0.64  50929872
   macro avg       0.59      0.66      0.56  50929872
weighted avg       0.81      0.64      0.69  50929872

Accuracy: 0.6413257626094171

LR_6_0.2

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.73  73187446

    accuracy                           0.65  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.65      0.68  98808073

Accuracy: 0.6544541962679506

              precision    recall  f1-score   support

           0       0.40      0.68      0.51  25620627
           1       0.85      0.65      0.73  73187446

    accuracy                           0.65  98808073
   macro avg       0.63      0.66      0.62  98808073
weighted avg       0.74      0.65      0.68  98808073

Accuracy: 0.6544541962679506

LR_6_0.4

              precision    recall  f1-score   support

           0       0.59      0.71      0.64  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.692852742689381

              precision    recall  f1-score   support

           0       0.59      0.71      0.64  66028440
           1       0.79      0.68      0.73 103663142

    accuracy                           0.69 169691582
   macro avg       0.69      0.70      0.69 169691582
weighted avg       0.71      0.69      0.70 169691582

Accuracy: 0.692852742689381

LR_6_All

              precision    recall  f1-score   support

           0       0.50      0.63      0.56  99768080
           1       0.81      0.72      0.76 225185809

    accuracy                           0.69 324953889
   macro avg       0.66      0.67      0.66 324953889
weighted avg       0.72      0.69      0.70 324953889

Accuracy: 0.6910168353147483

              precision    recall  f1-score   support

           0       0.50      0.63      0.56  99768080
           1       0.81      0.72      0.76 225185809

    accuracy                           0.69 324953889
   macro avg       0.66      0.67      0.66 324953889
weighted avg       0.72      0.69      0.70 324953889

Accuracy: 0.6910168353147483

LR_6_imba_0.001

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      1026
           1       1.00      1.00      1.00    499456

    accuracy                           1.00    500482
   macro avg       0.50      0.50      0.50    500482
weighted avg       1.00      1.00      1.00    500482

Accuracy: 0.9979499762229211

              precision    recall  f1-score   support

           0       0.00      0.00      0.00      1026
           1       1.00      1.00      1.00    499456

    accuracy                           1.00    500482
   macro avg       0.50      0.50      0.50    500482
weighted avg       1.00      1.00      1.00    500482

Accuracy: 0.9979499762229211

LR_6_imba_0.01

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     98473
           1       0.98      1.00      0.99   4925407

    accuracy                           0.98   5023880
   macro avg       0.49      0.50      0.50   5023880
weighted avg       0.96      0.98      0.97   5023880

Accuracy: 0.9803990143076666

              precision    recall  f1-score   support

           0       0.00      0.00      0.00     98473
           1       0.98      1.00      0.99   4925407

    accuracy                           0.98   5023880
   macro avg       0.49      0.50      0.50   5023880
weighted avg       0.96      0.98      0.97   5023880

Accuracy: 0.9803990143076666

LR_6_imba_0.1

              precision    recall  f1-score   support

           0       1.00      0.00      0.00   8019514
           1       0.84      1.00      0.91  42910358

    accuracy                           0.84  50929872
   macro avg       0.92      0.50      0.46  50929872
weighted avg       0.87      0.84      0.77  50929872

Accuracy: 0.8425383240704002

              precision    recall  f1-score   support

           0       1.00      0.00      0.00   8019514
           1       0.84      1.00      0.91  42910358

    accuracy                           0.84  50929872
   macro avg       0.92      0.50      0.46  50929872
weighted avg       0.87      0.84      0.77  50929872

Accuracy: 0.8425383240704002

LR_6_imba_0.2

              precision    recall  f1-score   support

           0       0.91      0.42      0.58  25620627
           1       0.83      0.99      0.90  73187446

    accuracy                           0.84  98808073
   macro avg       0.87      0.70      0.74  98808073
weighted avg       0.85      0.84      0.82  98808073

Accuracy: 0.8394588972502277

              precision    recall  f1-score   support

           0       0.91      0.42      0.58  25620627
           1       0.83      0.99      0.90  73187446

    accuracy                           0.84  98808073
   macro avg       0.87      0.70      0.74  98808073
weighted avg       0.85      0.84      0.82  98808073

Accuracy: 0.8394588972502277

LR_6_imba_0.4

              precision    recall  f1-score   support

           0       0.69      0.61      0.65  66028440
           1       0.77      0.83      0.80 103663142

    accuracy                           0.74 169691582
   macro avg       0.73      0.72      0.72 169691582
weighted avg       0.74      0.74      0.74 169691582

Accuracy: 0.7442905447130548

              precision    recall  f1-score   support

           0       0.69      0.61      0.65  66028440
           1       0.77      0.83      0.80 103663142

    accuracy                           0.74 169691582
   macro avg       0.73      0.72      0.72 169691582
weighted avg       0.74      0.74      0.74 169691582

Accuracy: 0.7442905447130548

LR_6_imba_All

              precision    recall  f1-score   support

           0       0.73      0.34      0.47  99768080
           1       0.76      0.95      0.85 225185809

    accuracy                           0.76 324953889
   macro avg       0.75      0.64      0.66 324953889
weighted avg       0.76      0.76      0.73 324953889

Accuracy: 0.7600320795052864

              precision    recall  f1-score   support

           0       0.73      0.34      0.47  99768080
           1       0.76      0.95      0.85 225185809

    accuracy                           0.76 324953889
   macro avg       0.75      0.64      0.66 324953889
weighted avg       0.76      0.76      0.73 324953889

Accuracy: 0.7600320795052864

LR_7_0.001

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.76      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9368788487897667

              precision    recall  f1-score   support

           0       0.02      0.57      0.04      1026
           1       1.00      0.94      0.97    499456

    accuracy                           0.94    500482
   macro avg       0.51      0.76      0.50    500482
weighted avg       1.00      0.94      0.97    500482

Accuracy: 0.9368788487897667

LR_7_0.01

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.63   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.9476126022118363

              precision    recall  f1-score   support

           0       0.19      0.52      0.28     98473
           1       0.99      0.96      0.97   4925407

    accuracy                           0.95   5023880
   macro avg       0.59      0.74      0.63   5023880
weighted avg       0.97      0.95      0.96   5023880

Accuracy: 0.9476126022118363

LR_7_0.1

              precision    recall  f1-score   support

           0       0.38      0.58      0.46   8019514
           1       0.91      0.83      0.87  42910358

    accuracy                           0.79  50929872
   macro avg       0.65      0.70      0.66  50929872
weighted avg       0.83      0.79      0.80  50929872

Accuracy: 0.7869018009705581

              precision    recall  f1-score   support

           0       0.38      0.58      0.46   8019514
           1       0.91      0.83      0.87  42910358

    accuracy                           0.79  50929872
   macro avg       0.65      0.70      0.66  50929872
weighted avg       0.83      0.79      0.80  50929872

Accuracy: 0.7869018009705581

LR_7_0.2

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.742507527699685

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.742507527699685

LR_7_0.4

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.74 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.74      0.73 169691582

Accuracy: 0.7354215956334239

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.74 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.74      0.73 169691582

Accuracy: 0.7354215956334239

LR_7_All

              precision    recall  f1-score   support

           0       0.44      0.58      0.50  99768080
           1       0.78      0.68      0.73 225185809

    accuracy                           0.65 324953889
   macro avg       0.61      0.63      0.62 324953889
weighted avg       0.68      0.65      0.66 324953889

Accuracy: 0.6482772452678663

              precision    recall  f1-score   support

           0       0.44      0.58      0.50  99768080
           1       0.78      0.68      0.73 225185809

    accuracy                           0.65 324953889
   macro avg       0.61      0.63      0.62 324953889
weighted avg       0.68      0.65      0.66 324953889

Accuracy: 0.6482772452678663

LR_8_0.001

              precision    recall  f1-score   support

           0       0.01      0.66      0.01      1026
           1       1.00      0.75      0.86    499456

    accuracy                           0.75    500482
   macro avg       0.50      0.71      0.43    500482
weighted avg       1.00      0.75      0.86    500482

Accuracy: 0.752214864870265

              precision    recall  f1-score   support

           0       0.01      0.66      0.01      1026
           1       1.00      0.75      0.86    499456

    accuracy                           0.75    500482
   macro avg       0.50      0.71      0.43    500482
weighted avg       1.00      0.75      0.86    500482

Accuracy: 0.752214864870265

LR_8_0.01

              precision    recall  f1-score   support

           0       0.06      0.60      0.11     98473
           1       0.99      0.81      0.89   4925407

    accuracy                           0.80   5023880
   macro avg       0.52      0.70      0.50   5023880
weighted avg       0.97      0.80      0.87   5023880

Accuracy: 0.8023917768736515

              precision    recall  f1-score   support

           0       0.06      0.60      0.11     98473
           1       0.99      0.81      0.89   4925407

    accuracy                           0.80   5023880
   macro avg       0.52      0.70      0.50   5023880
weighted avg       0.97      0.80      0.87   5023880

Accuracy: 0.8023917768736515

LR_8_0.1

              precision    recall  f1-score   support

           0       0.35      0.60      0.44   8019514
           1       0.91      0.79      0.85  42910358

    accuracy                           0.76  50929872
   macro avg       0.63      0.69      0.64  50929872
weighted avg       0.82      0.76      0.78  50929872

Accuracy: 0.7604401008508327

              precision    recall  f1-score   support

           0       0.35      0.60      0.44   8019514
           1       0.91      0.79      0.85  42910358

    accuracy                           0.76  50929872
   macro avg       0.63      0.69      0.64  50929872
weighted avg       0.82      0.76      0.78  50929872

Accuracy: 0.7604401008508327

LR_8_0.2

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.743415338137401

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.743415338137401

LR_8_0.4

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.74 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.74      0.74 169691582

Accuracy: 0.7360847575809624

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.74 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.74      0.74 169691582

Accuracy: 0.7360847575809624

LR_8_All

              precision    recall  f1-score   support

           0       0.44      0.58      0.50  99768080
           1       0.78      0.68      0.73 225185809

    accuracy                           0.65 324953889
   macro avg       0.61      0.63      0.62 324953889
weighted avg       0.68      0.65      0.66 324953889

Accuracy: 0.64812848877768

              precision    recall  f1-score   support

           0       0.44      0.58      0.50  99768080
           1       0.78      0.68      0.73 225185809

    accuracy                           0.65 324953889
   macro avg       0.61      0.63      0.62 324953889
weighted avg       0.68      0.65      0.66 324953889

Accuracy: 0.64812848877768

LR_9_0.001

              precision    recall  f1-score   support

           0       0.01      0.61      0.02      1026
           1       1.00      0.85      0.92    499456

    accuracy                           0.85    500482
   macro avg       0.50      0.73      0.47    500482
weighted avg       1.00      0.85      0.92    500482

Accuracy: 0.8512813647643671

              precision    recall  f1-score   support

           0       0.01      0.61      0.02      1026
           1       1.00      0.85      0.92    499456

    accuracy                           0.85    500482
   macro avg       0.50      0.73      0.47    500482
weighted avg       1.00      0.85      0.92    500482

Accuracy: 0.8512813647643671

LR_9_0.01

              precision    recall  f1-score   support

           0       0.07      0.58      0.13     98473
           1       0.99      0.85      0.91   4925407

    accuracy                           0.84   5023880
   macro avg       0.53      0.71      0.52   5023880
weighted avg       0.97      0.84      0.90   5023880

Accuracy: 0.841862265818451

              precision    recall  f1-score   support

           0       0.07      0.58      0.13     98473
           1       0.99      0.85      0.91   4925407

    accuracy                           0.84   5023880
   macro avg       0.53      0.71      0.52   5023880
weighted avg       0.97      0.84      0.90   5023880

Accuracy: 0.841862265818451

LR_9_0.1

              precision    recall  f1-score   support

           0       0.35      0.60      0.44   8019514
           1       0.91      0.79      0.85  42910358

    accuracy                           0.76  50929872
   macro avg       0.63      0.69      0.64  50929872
weighted avg       0.82      0.76      0.78  50929872

Accuracy: 0.7617056449700089

              precision    recall  f1-score   support

           0       0.35      0.60      0.44   8019514
           1       0.91      0.79      0.85  42910358

    accuracy                           0.76  50929872
   macro avg       0.63      0.69      0.64  50929872
weighted avg       0.82      0.76      0.78  50929872

Accuracy: 0.7617056449700089

LR_9_0.2

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.743784457774012

              precision    recall  f1-score   support

           0       0.50      0.61      0.55  25620627
           1       0.85      0.79      0.82  73187446

    accuracy                           0.74  98808073
   macro avg       0.68      0.70      0.69  98808073
weighted avg       0.76      0.74      0.75  98808073

Accuracy: 0.743784457774012

LR_9_0.4

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.74 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.74      0.74 169691582

Accuracy: 0.7361713499730352

              precision    recall  f1-score   support

           0       0.67      0.64      0.65  66028440
           1       0.78      0.80      0.79 103663142

    accuracy                           0.74 169691582
   macro avg       0.72      0.72      0.72 169691582
weighted avg       0.73      0.74      0.74 169691582

Accuracy: 0.7361713499730352

LR_9_All

              precision    recall  f1-score   support

           0       0.44      0.58      0.50  99768080
           1       0.78      0.68      0.73 225185809

    accuracy                           0.65 324953889
   macro avg       0.61      0.63      0.62 324953889
weighted avg       0.68      0.65      0.66 324953889

Accuracy: 0.6483561333835891

              precision    recall  f1-score   support

           0       0.44      0.58      0.50  99768080
           1       0.78      0.68      0.73 225185809

    accuracy                           0.65 324953889
   macro avg       0.61      0.63      0.62 324953889
weighted avg       0.68      0.65      0.66 324953889

Accuracy: 0.6483561333835891